1,257 resources related to Data preprocessing
- Topics related to Data preprocessing
- IEEE Organizations related to Data preprocessing
- Conferences related to Data preprocessing
- Periodicals related to Data preprocessing
- Most published Xplore authors for Data preprocessing
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.
Ganapathy, V. Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on, 1993
First Page of the Article !(/xploreAssets/images/absImages/00693183.png)
Khoshgoftaar, T.M.; Kehan Gao Machine Learning and Applications, 2009. ICMLA '09. International Conference on, 2009
In this paper, we study the learning impact of data sampling followed by attribute selection on the classification models built with binary class imbalanced data within the scenario of software quality engineering. We use a wrapper-based attribute ranking technique to select a subset of attributes, and the random undersampling technique (RUS) on the majority class to alleviate the negative effects ...
Hasegawa, T.; Yasuda, H.; Matsumoto, T. Pattern Recognition, 2000. Proceedings. 15th International Conference on, 2000
A fast discrete HMM algorithm is proposed for online handwritten character recognition. After preprocessing the input strokes are discretized so that a discrete HMM is used. This particular discretization naturally leads to a simple procedure for assigning initial state and state transition probabilities. In the training phase, complete marginalization with respect to state is not performed. A criterion based on ...
Bakar, A.A.; Othman, Z.A.; Mohd Shuib, Nor Liyana Data Mining and Optimization, 2009. DMO '09. 2nd Conference on, 2009
Data preprocessing is an important step in data mining. It is used to resolve various types of problem in a large dataset in order to produce quality data. It consists of four steps, namely, data cleaning, integration, reduction and transformation. The literature shows that each preprocessing step consists of various techniques. In order to develop quality data, a data miner ...
Lai, L.L.; Braun, H.; Zhang, Q.P.; Wu, Q.; Ma, Y.N.; Sun, W.C.; Yang, L. Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on, 2004
In recent years, many solutions to intelligent weather forecast have been proposed, especially on temperature and rainfall, however, it is difficult to simulate the meteorological phenomena and the corresponding characters of weather when some complex differential equations and computational algorithms are merely piled up. On the basis of the review of researches on the non- linear characters of meteorology, This ...
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
Typical issues of wearable electronics examined prior to commercial products
Inkjet-Printed Nanotechnology-Enabled Zero-Power Wireless Sensor Nodes for Smart Skin Applications
Bridging the gap for wearable electronics
Qualifying RF Systems for 5G Using Off the Shelf Parts Without Iterations: MicroApps 2015 - Keysight Technologies
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
ITEC 2014: Efficiency through the Data Link: Connected Cars & the Electrified Experience
No standards are currently tagged "Data preprocessing"