Conferences related to Big Data Taxonomies

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2020 IEEE International Conference on Multimedia and Expo (ICME)

Multimedia technologies, systems and applications for both research and development of communications, circuits and systems, computer, and signal processing communities.

  • 2019 IEEE International Conference on Multimedia and Expo (ICME)

    speech, audio, image, video, text and new sensor signal processingsignal processing for media integration3D imaging, visualization and animationvirtual reality and augmented realitymulti-modal multimedia computing systems and human-machine interactionmultimedia communications and networkingmedia content analysis and searchmultimedia quality assessmentmultimedia security and content protectionmultimedia applications and servicesmultimedia standards and related issues

  • 2018 IEEE International Conference on Multimedia and Expo (ICME)

    The IEEE International Conference on Multimedia & Expo (ICME) has been the flagship multimedia conference sponsored by four IEEE societies since 2000. It serves as a forum to promote the exchange of the latest advances in multimedia technologies, systems, and applications from both the research and development perspectives of the circuits and systems, communications, computer, and signal processing communities. ICME also features an Exposition of multimedia products and prototypes.

  • 2017 IEEE International Conference on Multimedia and Expo (ICME)

    Topics of interest include, but are not limited to: – Speech, audio, image, video, text and new sensor signal processing – Signal processing for media integration – 3D visualization and animation – 3D imaging and 3DTV – Virtual reality and augmented reality – Multi-modal multimedia computing systems and human-machine interaction – Multimedia communications and networking – Media content analysis – Multimedia quality assessment – Multimedia security and content protection – Multimedia databases and digital libraries – Multimedia applications and services – Multimedia standards and related issues

  • 2016 IEEE International Conference on Multimedia and Expo (ICME)

    Topics of interest include, but are not limited to:- Speech, audio, image, video, text and new sensor signal processing- Signal processing for media integration- 3D visualization and animation- 3D imaging and 3DTV- Virtual reality and augmented reality- Multi-modal multimedia computing systems and human-machine interaction- Multimedia communications and networking- Media content analysis- Multimedia quality assessment- Multimedia security and content protection- Multimedia databases and digital libraries- Multimedia applications and services- Multimedia standards and related issues

  • 2015 IEEE International Conference on Multimedia and Expo (ICME)

    With around 1000 submissions and 500 participants each year, the IEEE International Conference on Multimedia & Expo (ICME) has been the flagship multimedia conference sponsored by four IEEE societies since 2000. It serves as a forum to promote the exchange of the latest advances in multimedia technologies, systems, and applications from both the research and development perspectives of the circuits and systems, communications, computer, and signal processing communities.

  • 2014 IEEE International Conference on Multimedia and Expo (ICME)

    The IEEE International Conference on Multimedia & Expo (ICME) has been the flagship multimedia conference sponsored by four IEEE societies since 2000. It serves as a forum to promote the exchange of the latest advances in multimedia technologies, systems, and applications. In 2014, an Exposition of multimedia products, prototypes and animations will be held in conjunction with the conference.Topics of interest include, but are not limited to:

  • 2013 IEEE International Conference on Multimedia and Expo (ICME)

    To promote the exchange of the latest advances in multimedia technologies, systems, and applications from both the research and development perspectives of the circuits and systems, communications, computer, and signal processing communities.

  • 2012 IEEE International Conference on Multimedia and Expo (ICME)

    IEEE International Conference on Multimedia & Expo (ICME) has been the flagship multimedia conference sponsored by four IEEE Societies. It exchanges the latest advances in multimedia technologies, systems, and applications from both the research and development perspectives of the circuits and systems, communications, computer, and signal processing communities.

  • 2011 IEEE International Conference on Multimedia and Expo (ICME)

    Speech, audio, image, video, text processing Signal processing for media integration 3D visualization, animation and virtual reality Multi-modal multimedia computing systems and human-machine interaction Multimedia communications and networking Multimedia security and privacy Multimedia databases and digital libraries Multimedia applications and services Media content analysis and search Hardware and software for multimedia systems Multimedia standards and related issues Multimedia qu

  • 2010 IEEE International Conference on Multimedia and Expo (ICME)

    A flagship multimedia conference sponsored by four IEEE societies, ICME serves as a forum to promote the exchange of the latest advances in multimedia technologies, systems, and applications from both the research and development perspectives of the circuits and systems, communications, computer, and signal processing communities.

  • 2009 IEEE International Conference on Multimedia and Expo (ICME)

    IEEE International Conference on Multimedia & Expo is a major annual international conference with the objective of bringing together researchers, developers, and practitioners from academia and industry working in all areas of multimedia. ICME serves as a forum for the dissemination of state-of-the-art research, development, and implementations of multimedia systems, technologies and applications.

  • 2008 IEEE International Conference on Multimedia and Expo (ICME)

    IEEE International Conference on Multimedia & Expo is a major annual international conference with the objective of bringing together researchers, developers, and practitioners from academia and industry working in all areas of multimedia. ICME serves as a forum for the dissemination of state-of-the-art research, development, and implementations of multimedia systems, technologies and applications.

  • 2007 IEEE International Conference on Multimedia and Expo (ICME)

  • 2006 IEEE International Conference on Multimedia and Expo (ICME)

  • 2005 IEEE International Conference on Multimedia and Expo (ICME)

  • 2004 IEEE International Conference on Multimedia and Expo (ICME)

  • 2003 IEEE International Conference on Multimedia and Expo (ICME)

  • 2002 IEEE International Conference on Multimedia and Expo (ICME)

  • 2001 IEEE International Conference on Multimedia and Expo (ICME)

  • 2000 IEEE International Conference on Multimedia and Expo (ICME)


2019 IEEE 13th International Conference on Semantic Computing (ICSC)

Content Analysis (from contents to semantics)Structured dataimage and videoaudio and speechbig datanatural languagedeep learningDescription and Integration (of data and services)Semantics description languagesontology integrationinteroperabilityUse of Semantics in IT ApplicationsMultimediaIoTcloud computingSDNwearable computingmobile computingsearch enginesquestion answeringroboticsweb servicesecurity and privacyUse of Semantics in Interdisciplinary Applicationsbiomedicinehealthcaremanufacturingengineeringeducationfinanceentertainmentbusinesssciencehumanity¿InterfaceNatural languagemulti-modal

  • 2018 IEEE 12th International Conference on Semantic Computing (ICSC)

    Topics for submission include but are not limited to:Analytics (from contents to semantics) Structured data image and video audio and speech big data natural language deep learningDescription and Integration Semantics description languages ontology integration interoperabilityUse of Semantics in IT Applications Multimedia IoT cloud computing SDN wearable computing mobile computing search engines question answering robotics web service security and privacyUse of Semantics in Interdisciplinary Applications biomedicine healthcare manufacturing engineering education finance entertainment business science humanityInterface Natural language multi-modal

  • 2017 IEEE 11th International Conference on Semantic Computing (ICSC)

    Topics of interest include, but are not limited to:• Analytics (from contents to semantics): Structured data, image and video, audio and speech, big data, natural language, deep learning• Description and Integration: Semantics description languages, ontology integration, interoperability• Use of Semantics in IT Applications: Multimedia, IoT, cloud computing, SDN, wearable computing, mobile computing, search engines, question answering, web services, security and privacy• Use of Semantics in Interdisciplinary Applications such as biomedicine, healthcare, manufacturing, engineering, education, finance, entertainment, business, science, humanity• Interfaces: Natural language, multi-modal

  • 2016 IEEE Tenth International Conference on Semantic Computing (ICSC)

    Semantic Computing (SC) is Computing based on Semantics (“meaning”, "context", “intention”). It addresses all types of resource including data, document, tool, device, process and people. The scope of SC includes analytics, semantics description languages and integration, interfaces, and applications including biomed, IoT, cloud computing, SDN,wearable computing, context awareness, mobile computing, search engines, question answering, big data, multimedia, and services.

  • 2015 IEEE International Conference on Semantic Computing (ICSC)

    Semantics based AnalysisNatural language processingImage and video analysisAudio, music and speech analysisData and web miningBehavior of software, systems, and networksServices and networksSecurityPrivacyAnalysis of social networksSemantic IntegrationMetadata and other description languagesDatabase schema integrationOntology integrationInteroperability and service integrationSemantic programming languages and software engineeringSemantic system design and synthesisApplications using SemanticsBig DataSearch engines and question answeringSemantic web servicesContent-based multimedia retrieval and editingContext-aware networks of sensors, devices and applicationsDevices and applicationsDigital library applicationsMachine translationMusic description and meta-creationMedicine and BiologyGIS systems and architectureSemantic InterfacesNatural language interfacesMultimodal interfaces and mediation technologyHuman centered computing

  • 2014 IEEE International Conference on Semantic Computing (ICSC)

    Semantics based Analysis:Natural language processing,Image and video analysis, Audio, music and speech analysis, Data and web mining,Behavior of software, services and networks, Services and networks,Security,Privacy,Analysis of social networksSemantic Integration,Metadata and other description languages,Database schema integration,Ontology integration,Interoperability and service integration,Semantic programming languages and software engineering,Semantic system design and synthesisApplications using Semantics,Search engines and question answering,Semantic web services,Content-based multimedia retrieval and editing,Context-aware networks of sensors, devices and applications,Digital library applications,Machine translation,Music description and meta-creation,Medicine and Biology,GIS systems and architectureSemantic Interfaces,Natural language interfaces,Multimodal interfaces and mediation technology,Human centered computing

  • 2013 IEEE Seventh International Conference on Semantic Computing (ICSC)

    Semantics based Analysis

  • 2012 IEEE Sixth International Conference on Semantic Computing (ICSC)

    Natural language processing Image and video analysis Audio and speech analysis Data and web mining Behavior of software, services and networks Security Metadata and other description languages Ontology integration Interoperability and service integration Search engines and question answering Semantic web services Content-based multimedia retrieval and editing Context-aware networks of sensors, devices and applications Machine translation Creative art description Medicine and biology Semantic programming languages and software engineering System design and synthesis GIS

  • 2011 IEEE Fifth International Conference on Semantic Computing (ICSC)

    Semantics based Analysis Natural language processing Image and video analysis Audio and speech analysis Data and web mining Behavior of software, services and networks Security Semantic Integration Metadata and other description languages Ontology integration Interoperability and service integration Applications using Semantics Search engines and question answering Semantic web services Content-based multimedia retrieval and editing Context-aware networks of sensors, devices and applications Machine translation Creative art description Medicine and biology Semantic programming languages and software engineering System design and synthesis GIS Semantic Interfaces Natural language interfaces Multimodal interfaces Human centered computing

  • 2010 IEEE Fourth International Conference on Semantic Computing (ICSC)

    The field of Semantic Computing addresses the derivation and matching of the semantics of computational content to that of naturally expressed user intentions in order to retrieve, manage, manipulate or even create content, where "content" maybe anything including video, audio, text, processes, services, hardware, networks, etc.

  • 2009 IEEE Third International Conference on Semantic Computing (ICSC)

    ANALYSIS AND UNDERSTANDING OF CONTENT Natural-language processing Image and video analysis Audio and speech analysis Analysis of structured and semi-structured data Analysis of behavior of software, services, and networks INTEGRATION OF MULTIPLE SEMANTIC REPRESENTATIONS Database schema integration Ontology integration Interoperability and Service Integration SEMANTIC INTERFACES Natural-Language Interface Multimodal Interfaces APPLICATIONS Semantic Web and other search technologies Quest

  • 2008 Second IEEE International Conference on Semantic Computing (ICSC)

    The field of Semantic Computing (SC) brings together those disciplines concerned with connecting the (often vaguely-formulated) intentions of humans with computational content. This connection can go both ways: retrieving, using and manipulating existing content according to user's goals ("do what the user means"); and creating, rearranging, and managing content that matches the author's intentions ("do what the author means").

  • 2007 First IEEE International Conference on Semantic Computing (ICSC)


2019 IEEE Aerospace Conference

The international IEEE Aerospace Conference is organized to promote interdisciplinaryunderstanding of aerospace systems, their underlying science, and technology


2019 IEEE International Conference on Software Architecture (ICSA)

ICSA is the premier venue for practitioners and researchers in software architecture andcomponent-based software engineering.

  • 2018 IEEE International Conference on Software Architecture (ICSA)

    ICSA is the premier venue for practitioners and researchers in software architecture and component-based software engineering.

  • 2017 IEEE Conference on Software Architecture (ICSA)

    ICSA is the premier venue for practitioners and researchers interested in software architecture, in component-based software engineering and in quality aspects of software and how these relate to the design of software architectures. ICSA keeps the characteristic of a WICSA as a working conference, where researchers meet practitioners and software architects can explain the problems they face in their day-to-day work and try to influence the future of the field.

  • 2016 13th Working IEEE/IFIP Conference on Software Architecture (WICSA)

    WICSA and COMPARCH will be a joint conference, where researchers meet practitioners and where software architects can explain the problems they face in their day-to-day work and try to influence the future of the field. Beside this, the conference will work to promote a better understanding of Component-Based Software Engineering from diverse perspectives, as well as to address the quality aspects of software and how they relate to the design of software architectures. In addition to traditional conference keynotes and paper sessions WICSA includes interactive working sessions where practitioners and researchers discuss their experiences to understand the current state of the field and identify opportunities to impact the future.

  • 2015 12th IEEE Conference on Software Architecture (WICSA)

    Architectural design of software-intensive systems, including identification of architecturally significant requirements, functional and non functional, quality of of a system, formal description of the architecture of a system, architecting process, decision making process, tools to assist architects, architecture assessment.

  • 2014 IEEE/IFIP Conference on Software Architecture (WICSA)

    The 11th Working IEEE/IFIP Conference on Software Architecture (WICSA 2014, Sydney, Australia) conference primary goal is to provide a) technological interactive forum for discussion among researchers and practitioners b) professional working discussions on progress in the field of software architecture theory and practice. The conference is organised through a friendly and structured collaborations of presentations, keynote speakers, working sessions, workshops, industrial day, and tutorials. The conference forum will allow researchers and practitioners discuss their advances and experiences to understand the current state of architectural practice, and identify opportunities to make a difference in the future.Leaders from local National ICT Australia (NICTA: government funded top research organisation) and Swinburne University of Technology (largest numbers in Software Engineering Researchers) will have a strong presence to drive this event.

  • 2012 Joint Working IEEE/IFIP Conference on Software Architecture (WICSA) & European Conference on Software Architecture (ECSA)

    WICSA/ECSA is the premier gathering of practitioners and researchers interested in finding out about and improving the state of practice and advancing the state-of-the-art of Software Architecture.

  • 2011 9th Working IEEE/IFIP Conference on Software Architecture (WICSA)

    WICSA is the premier gathering of practitioners and researchers interested in finding out about and improving the state of practice of Software Architecture.

  • 2009 Joint Working IEEE/IFIP Conference on Software Architecture (WICSA) & 3rd European Conference on Software Architecture (ECSA)

    The 8th Working IEEE/IFIP Conference on Software Architecture (WICSA) and the 3rd European Conference on Software Architecture (ECSA) have merged in 2009 to provide a unique forum for researchers and practitioners to present and discuss the latest R&D outcomes, experiences, trends, and challenges in the field of software architecture. This synergistic coupling of WICSA and ECSA for the first time promises an even more inspiring and productive event in 2009.

  • 2008 Working IEEE/IFIP Conference on Software Architecture (WICSA)

  • 2007 Working IEEE/IFIP Conference on Software Architecture (WICSA)

  • 2004 Working IEEE/IFIP Conference on Software Architecture (WICSA)


2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI)

SACI 2018 conference focuses on theory and application on the field of applied computationalintelligence and informatics. The aim is to provide platform for scientists, teachers, researchersand students as well to publish their papers, and discuss the results.


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Periodicals related to Big Data Taxonomies

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Communications Magazine, IEEE

IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...


Communications Surveys & Tutorials, IEEE

Each tutorial reviews currents communications topics in network management and computer and wireless communications. Available tutorials, which are 2.5 to 5 hours in length contains the original visuals and voice-over by the presenter. IEEE Communications Surveys & Tutorials features two distinct types of articles: original articles and reprints. The original articles are exclusively written for IEEE Communications Surveys & Tutorials ...


Computer Graphics and Applications, IEEE

IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics. From specific algorithms to full system implementations, CG&A offers a strong combination of peer-reviewed feature articles and refereed departments, including news and product announcements. Special Applications sidebars relate research stories to commercial development. Cover stories focus on creative applications of the technology by an artist or ...


Internet Computing, IEEE

IEEE Internet Computing provides journal-quality evaluation and review of emerging and maturing Internet technologies and applications. The magazine targets the technical and scientific Internet user communities as well as designers and developers of Internet-based applications and enabling technologies. IC publishes refereed articles on the latest developments and key trends in Internet technologies and applications. A crossroads between academic researchers and ...


IT Professional

This IEEE Computer Society periodical covers the many rapidly emerging issues facing information technology professionals, developers, and managers of enterprise information systems. IT Professional's coverage areas include: Web services, Internet security, data management; enterprise architectures and infrastructures; organizing and utilizing data; instituting cross-functional systems; using IT for competitive breakthroughs; integrating systems and capitalizing on IT advances; emerging technologies like electronic ...


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Most published Xplore authors for Big Data Taxonomies

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Xplore Articles related to Big Data Taxonomies

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Towards a taxonomy of standards in smart data

2015 IEEE International Conference on Big Data (Big Data), 2015

The usage of large amounts of data has an immense potential for global economic growth and the competitiveness of countries with high technological standards. Vast amounts of data from different sources are collected and analyzed in order to seek economic profit and competitive advantages for companies and society in general. To gain profit from such data, it needs to be ...


Toward big data risk analysis

2015 IEEE International Conference on Big Data (Big Data), 2015

The advent of social networks and Internet-of-Things has resulted in unprecedented capability of collecting, sharing and analyzing massive amounts of data. From a security perspective, Big Data may seriously weaken confidentiality, as techniques for improving Big Data analytics performance- including early fusion of heterogeneous data sources - increase the hidden redundancy of data representation, generating ill-protected copies. This gray area ...


Semantic HMC for big data analysis

2014 IEEE International Conference on Big Data (Big Data), 2014

Analyzing Big Data can help corporations to improve their efficiency. In this work we present a new vision to derive Value from Big Data using a Semantic Hierarchical Multi-label Classification called Semantic HMC based in a non- supervised Ontology learning process. We also propose a Semantic HMC process, using scalable Machine-Learning techniques and Rule-based reasoning.


Taxonomy on the Integration of Hadoop and Rapid Miner for Big Data Analytics

2015 International Conference on Computational Intelligence and Communication Networks (CICN), 2015

Today's research and industry aims at working with large data sets. High scalability and fault tolerance have been provided by some distributed data analytical solution like Hadoop but they are not too much user friendly and their functionalities can be exploited solely by the developer. The present paper proposes the concept of Radoop which is an extension of Rapid Miner ...


Big Data Sensing and Service: A Tutorial

2015 IEEE First International Conference on Big Data Computing Service and Applications, 2015

As the advance of the Internet of Things (IoT), more M2M sensors and devices are connected to the Internet. These sensors and devices generate sensor-based big data and bring new business opportunities and demands for creating and developing sensor-oriented big data infrastructures, platforms and analytics service applications. Big data sensing is becoming a new concept and next technology trend based ...


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Educational Resources on Big Data Taxonomies

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IEEE-USA E-Books

  • Towards a taxonomy of standards in smart data

    The usage of large amounts of data has an immense potential for global economic growth and the competitiveness of countries with high technological standards. Vast amounts of data from different sources are collected and analyzed in order to seek economic profit and competitive advantages for companies and society in general. To gain profit from such data, it needs to be analyzed, processed, and interpreted. Thus, knowledge can be created and such generation of knowledge within the analysis and interpretation process constitutes the difference between "Big" and "Smart" Data. In this paper we present a taxonomy to develop standards in the field of Smart Data. It consists of 8 challenges that need to be addressed by standards and 13 fields of standardization.

  • Toward big data risk analysis

    The advent of social networks and Internet-of-Things has resulted in unprecedented capability of collecting, sharing and analyzing massive amounts of data. From a security perspective, Big Data may seriously weaken confidentiality, as techniques for improving Big Data analytics performance- including early fusion of heterogeneous data sources - increase the hidden redundancy of data representation, generating ill-protected copies. This gray area of redundancy triggers new disclosure threats that challenge traditional techniques to protect privacy and confidentiality. This position paper starts by proposing a definition of the Big Data Leak threat (as opposed to the one of data breach) and its role as a component of disclosure risk. Then, it discusses how a paradigm of Known, Detect, Contain and Recover could be used to establish Big Data security practices for containing disclosure risks connected to Big Data analytics.

  • Semantic HMC for big data analysis

    Analyzing Big Data can help corporations to improve their efficiency. In this work we present a new vision to derive Value from Big Data using a Semantic Hierarchical Multi-label Classification called Semantic HMC based in a non- supervised Ontology learning process. We also propose a Semantic HMC process, using scalable Machine-Learning techniques and Rule-based reasoning.

  • Taxonomy on the Integration of Hadoop and Rapid Miner for Big Data Analytics

    Today's research and industry aims at working with large data sets. High scalability and fault tolerance have been provided by some distributed data analytical solution like Hadoop but they are not too much user friendly and their functionalities can be exploited solely by the developer. The present paper proposes the concept of Radoop which is an extension of Rapid Miner a data mining tool with Hadoop functionalities. Our conclusion in the present paper is based on the fact that Radoop is a tool which is made for handling Big data analytics and meets well with the ever increasing demands of the data size.

  • Big Data Sensing and Service: A Tutorial

    As the advance of the Internet of Things (IoT), more M2M sensors and devices are connected to the Internet. These sensors and devices generate sensor-based big data and bring new business opportunities and demands for creating and developing sensor-oriented big data infrastructures, platforms and analytics service applications. Big data sensing is becoming a new concept and next technology trend based on a connected sensor world because of IoT. It brings a strong impact on many sensor-oriented applications, including smart city, disaster control and monitor, healthcare services, and environment protection and climate change study. This paper is written as a tutorial paper by providing the informative concepts and taxonomy on big data sensing and services. The paper not only discusses the motivation, research scope, and features of big data sensing and services, but also exams the required services in big data sensing based on the state-of-the-art research work. Moreover, the paper discusses big data sensing challenges, issues, and needs.

  • Instructional Model for Building Effective Big Data Curricula for Online and Campus Education

    This paper presents current results and ongoing work to develop effective educational courses on the Big Data (BD) and Data Intensive Science and Technologies (DIST) that is been done at the University of Amsterdam in cooperation with KPMG and by the Laureate Online Education (online partner of the University of Liverpool). The paper introduces the main Big Data concepts: multicomponent Big Data definition and Big Data Architecture Framework that provide the basis for defining the course structure and Common Body of Knowledge for Data Science and Big Data technology domains. The paper presents details on approach, learning model, and course content for two courses at the Laureate Online Education/University of Liverpool and at the University of Amsterdam. The paper also provides background information about existing initiatives and activities related to information exchange and coordination on developing educational materials and programs on Big Data, Data Science, and Research Data Management.

  • Industrial Big Data for Fault Diagnosis: Taxonomy, Review, and Applications

    Fault diagnosis is an important topic both in practice and research. There is intense pressure on industrial systems to continue reducing unscheduled downtime, performance degradation, and safety hazards, which requires detecting and recovering from potential faults as early as possible. From the historical perspective, this paper divides fault diagnosis into previous research and industrial big data era. According to primary drivers, this paper classifies fault diagnosis into knowledge-driven, data-driven, and value- driven methods. Among them, the former two approaches belong to the previous research on fault diagnosis. They mainly depend on expert experience and shallow models to detect and extract failures from relatively small size data. With the continuous exponential growth of data, it is insufficient to mine valuable fault information from massive multi-source heterogeneous data. The huge diagnostic value embodied in industrial big data has driven the emergence of the third category, which belongs to fault diagnosis based on big data. It consists of big data processing and analysis corresponding to high efficiency, cost effectiveness, and generality, which can deal well with problems that previous methods faced. We introduce the concept of a device electrocardiogram from the perspective of applicability to outline the present status of fault diagnosis for big data, and compare it with traditional diagnostic system. We also discuss issues and challenges that need to be further considered. It would be great valuable to integrate or explore more advanced diagnostic methods to handle collected industrial big data and put them into practice to mine the huge hidden diagnostic value.

  • A study of performance enhancement in big data anonymization

    This paper presents the schemes to solve problems when k-anonymity and l-diversity are applied to Big-Data anonymization. The first problem is that information loss and distortion are unavoidable by anonymization job. To reduce the distortion, this paper presents an efficient method that is based on deep anonymization detection. In the method, data publishers analyze the anonymization work, and determine if it is deep or light. If it is thought as deep anonymization, high information distortion is allowed when being distributed to a third party after anonymization. Otherwise, information distortion is kept as low as possible when anonymizing Big-Data to provide the receivers with more meaningful data. The decision for deep anonymization is done by considering a domain data characteristic, data receiver's purpose, and data criticality. The second problem is that it takes much time and requires large buffer space to process the anonymization. To solve the problem, this paper present enhanced read/write schemes.

  • Toward granular knowledge analytics for data intelligence: Extracting granular entity-relationship graphs for knowledge profiling

    This paper proposes an approach to computational knowledge analytics. Identification and measurement of knowledge - a meta-knowledge of who knows what - is a crucial foundation for decision-making. The availability of information sources and know-how is a valuable production factor. In this paper, the authors propose a framework to capture, visualize, and analyze organizational knowledge by extracting granular, hierarchical entity- relationship models from unstructured text data that are mapped to individual users and organizational units. With a granular computing approach, the framework can be applied to model, represent, and visualize knowledge profiles that show who in the organization knows what. The framework can also be applied in big data management to enhance data intelligence - the competence, knowledge, and skills necessary to analyze and utilize big data. We present a prototype implementation that assesses and harnesses data sources and metrics to deliver a meaningful analysis of user and community knowledge, based on text analytics.

  • Tabular Data Anomaly Patterns

    One essential and challenging task in data science is data cleaning - the process of identifying and eliminating data anomalies. Different data types, data domains, data acquisition methods, and final purposes of data cleaning have resulted in different approaches in defining data anomalies in the literature. This paper proposes and describes a set of basic data anomalies in the form of anomaly patterns commonly encountered in tabular data, independently of the data domain, data acquisition technique, or the purpose of data cleaning. This set of anomalies can serve as a valuable basis for developing and enhancing software products that provide general-purpose data cleaning facilities and can provide a basis for comparing different tools aimed to support tabular data cleaning capabilities. Furthermore, this paper introduces a set of corresponding data operations suitable for addressing the identified anomaly patterns and introduces Grafterizer - a software framework that implements those data operations.



Standards related to Big Data Taxonomies

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