1,252 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.
Wang Ling; Xiao Haijun Multimedia Information Networking and Security, 2009. MINES '09. International Conference on, 2009
As the rapid growth of network attacking tools, patterns of network intrusion events change gradually. Although many researches have been proposed to analyze attackers' behaviors to improve the detection rate, they still suffer in high false rate in intrusion detection. Therefore, an effective intrusion detection system (IDS) deployment requires carefully planning, preparation, prototyping, testing, and specialized training. So an integrated ...
Kozarzewski, B. Human System Interactions (HSI), 2010 3rd Conference on, 2010
Neural network based system is proposed as a tool supporting time series forecasting. Wavelets analysis is suggested for raw data preprocessing. The preprocessed data are fed into SOM neural networks for clustering. The system has been tested as a tool supporting stock market investment decisions and shows good prediction accuracy of the method. However effectiveness, measured by income from shares ...
Wilamowski, B.M.; Kaynak, O. Industrial Electronics, IEEE Transactions on, 2000
Oil well diagnosis usually requires dedicated sensors placed on the surface and the bottom of the well. There is significant interest in identifying the characteristics of an oil well by using data from these sensors and neural networks for data processing. The purpose of this paper is to identify oil well parameters by measuring the terminal characteristics of the induction ...
Li Shuangcheng; Wan Ping E-Learning, E-Business, Enterprise Information Systems, and E-Government, 2009. EEEE '09. International Conference on, 2009
In order to preprocess the questionnaire data, the thoughts of the KDD and some nodes of the Clementine data mining software package are employed in a flexible way and the existing information are made full use of to build the combined classification data mining Model.
Altincay, H.; Demirekler, M. Pattern Recognition, 2002. Proceedings. 16th International Conference on, 2002
A combination of classifiers is a promising direction for obtaining better classification systems. However the outputs of different classifiers may have different scales and hence the classifier outputs are incomparable. Incomparability of the classifier output scores is a major problem in the combination of different classification systems. In order to avoid this problem, the measurement level classifier outputs are generally ...
Big Data: Connecting Big Data with Data Analytics
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Concept of Arrays
Big Data: Perspectives of the IEEE Reliability Society
TechNews: Big Data
ACADIS: brokering arctic data for research
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
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