1,237 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.
Shichao Zhang; Chengqi Zhang; Qiang Yang Intelligent Systems, IEEE, 2004
Tkacz, E.J.; Kostka, P. Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE, 2000
Presents some recently obtained results concerning the possibility of application of wavelet neural networks (WNN) for classification purposes in the case of patients with coronary artery disease of different levels. Patients with respectively one, two and three coronary arteries blocked have been taken into consideration. The Heart Rate Variability signal has been registered for 5 minutes for each of such ...
Moniaci, W.; Carmellino, P.; Pasero, E. Systems, Man and Cybernetics, 2005 IEEE International Conference on, 2005
Nowadays the most powerful tool to evaluate complex production processes' performance is simulation software. This approach is computationally slow. So one alternative could be an approximation of the original system's model able to detect the relationships between input and output, yet it's computationally more efficient than simulation. During training, a neural network is presented with several input/output pairs, and it ...
Zhaoyang Qu; Ji Meng; Wenjie Yuan Computer Science and Software Engineering, 2008 International Conference on, 2008
Aiming at the question that two kinds of different source data-SCADA/WAMS cannot carry on power grid online analysis well. A data preprocessing method is presented in this paper, which is based on a two-stage state estimation algorithm optimized by PCA. By using linear/non-linear mixed state estimation algorithm, the origin data of SCADA/WAMS is transformed into state value. To accelerate the ...
Stiglic, G.; Kocbek, S.; Kokol, P. Computer-Based Medical Systems, 2009. CBMS 2009. 22nd IEEE International Symposium on, 2009
Data preprocessing is an important step in preparation of DNA microarray data for further analysis. There is a significant amount of genes that do not influence the final classification. One of the reasons to eliminate such genes is the increasing computational complexity of supervised machine learning methods, especially in modern microarray experiments with hundreds of samples. This empirical study aims ...
Big Data: Connecting Big Data with Data Analytics
Dig Data: What's Next for Big Data
Big Data: Big Data in Medicine & Biology
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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