1,250 resources related to Data preprocessing
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2015 IEEE International Parallel and Distributed Processing Symposium (IPDPS)
IPDPS is an international forum for engineers and scientists from around the world to present their latest research findings in all aspects of Parallel Processing.
2013 IEEE 11th International Conference on Industrial Informatics (INDIN)
The aim of the conference is to bring together researchers and practitioners from industry and academia and provide them with a platform to report on recent developments, deployments, technology trends and research results, as well as initiatives related to industrial informatics and their application.
2012 4th Conference on Data Mining and Optimization (DMO)
The scope of the conference includes, but is not limited to the following subjects: Parallel and distributed data mining algorithms, Data streams mining, Graph mining, Spatial data mining, Text & multimedia mining, Web mining, Pre-processing techniques, etc. Linear/Nonlinear Optimization, Integer/Combinatorial Optimization, metaheuristics, Network Optimization, Scheduling Problems and Stochastic Optimization.
Sensor Technology Nonlinear Circuits & Systems Signal Processing Instrumentation & Control Systems Communications Systems Image Processing & Multimedia Systems Biomedical Systems VLSI & Embedded Systems Power Electronics & Power Systems Computational & Articial Intelligence
Given volumes of information in digital form, we are constantly faced with new challenges with regards to efficiently using it and extracting useful knowledge from it. Information reuse and integration (IRI) seeks to maximally exploit such available information to create new knowledge and to reuse it for addressing newer challenges. It plays a pivotal role in the capture, maintenance, integration, validation, extrapolation, and application of knowledge to augment human decision -making capabilities.
Artificial intelligence techniques, including speech, voice, graphics, images, and documents; knowledge and data engineering tools and techniques; parallel and distributed processing; real-time distributed processing; system architectures, integration, and modeling; database design, modeling, and management; query design, and implementation languages; distributed database control; statistical databases; algorithms for data and knowledge management; performance evaluation of algorithms and systems; data communications aspects; system ...
IEEE Transactions on Parallel and Distributed Systems (TPDS) is published monthly. Topic areas include, but are not limited to the following: a) architectures: design, analysis, and implementation of multiple-processor systems (including multi-processors, multicomputers, and networks); impact of VLSI on system design; interprocessor communications; b) software: parallel languages and compilers; scheduling and task partitioning; databases, operating systems, and programming environments for ...
This award-winning magazine for technology professionals explores career strategies, the latest research and important technical developments. IEEE Potentials covers theories to practical applications and highlights technology's global impact.
Riveiro, M.; Falkman, G.; Ziemke, T. Information Visualisation, 2008. IV '08. 12th International Conference, 2008
The surveillance of large sea areas often generates huge amounts of multidimensional data. Exploring, analyzing and finding anomalous behavior within this data is a complex task. Confident decisions upon the abnormality of a particular vessel behavior require a certain level of situation awareness that may be difficult to achieve when the operator is overloaded by the available information. Based on ...
Yanyang Yan; Tao Liu; Hengbo Jiang Management and Service Science, 2009. MASS '09. International Conference on, 2009
Self-employed People are firms in style but are individuals in features while measuring their credit, it is more reasonable to judge their credit status using credit scoring system than credit rating method. Choosing the self- employed people registered in Changsha as a sample, a credit scoring system is developed and tested. The test results using both the training sample and ...
Ji Liang-hao Circuits, Communications and System (PACCS), 2011 Third Pacific-Asia Conference on, 2011
As the increase of the internet information, it's very necessary to provide personalized service for us. Collaborative filtering is one of the most successful applications in the field of personalized service. But the quality of the service directly affects the extent of its application. So before recommend, do data preprocessing, the results of the experiment show that the method can ...
Xu Pengyun; Li Jigang Informatics in Control, Automation and Robotics, 2009. CAR '09. International Asia Conference on, 2009
To monitor plant disease which caused by spores, it is needed to obtain the spores image exterior outline characteristic, prepares for spores type analysis and automatic counting. This paper uses computer assistance digital image processing, realized image pretreatment, determined the threshold value reasonably, and transformed the gray image to binary image. Images was captured by CCD and input into computer ...
Ngako Pangop, L.; Cornou, S.; Chausse, F.; Chapuis, R.; Bonnet, S. Multisensor Fusion and Integration for Intelligent Systems, 2008. MFI 2008. IEEE International Conference on, 2008
We have previously proposed a Bayesian framework to fuse at feature level information from a lidar and video camera in order to classify pedestrians. After studying the influence of each stage of the computation on the system performance, it appears that object segmentation and sensor models are essential for good results. In this paper, we propose some improvements on these ...
Big Data: Connecting Big Data with Data Analytics
Big Data: Big Data in Medicine & Biology
Concept of Arrays
Dig Data: What's Next for Big Data
Big Data: Perspectives of the IEEE Reliability Society
TechNews: Big Data
26th Annual MTT-AP Symposium and Mini Show - Dr. Rob Holland
Rebooting Computing: Randomness and Approximation
Stephen Brodsky: Big Data at the Speed of Business
Netflix's Chris Pouliot: How to Build a Data Science Team from Scratch
Michael Johnson: Big Data in Healthcare
Yahoo's Raghu Ramakrishnan Discusses CAP and Cloud Data Management
Consequences of Big Data on the Individual
Big Data & the Cloud: The Road Ahead
Big Data & the Cloud: The Research Agenda
Big Data & the Cloud: Privacy and Security issues
Big Data & the Cloud - A look at CLOUD 2013, Santa Clara Marriott
ITEC 2014: Efficiency through the Data Link: Connected Cars & the Electrified Experience
WIE ILC: Leadership Q & A with Jaya Kolhatkar of WalmartLabs
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