141 resources related to Data Mining
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2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
IEEE International Conference on Fuzzy Systems is the largest technical event in the field of fuzzy systems. In 2014, International Joint Conference on Neural Networks will be part of the 2104 IEEE World Congress on Computational Intelligence.
2014 International Conference on Distributed Frameworks for Multimedia Applications (DFmA)
Papers are invited on all aspects of Advanced Computer Networks/Next Generation Internet or research areas aligned to it that include (but are not limited to) the following: Multimedia Communications and Systems, Networks/Internet & Communications, Internet Security and Monitoring, Grid and Cloud Computing.
IGARSS 2014 - 2014 IEEE International Geoscience and Remote Sensing Symposium
GRSS seeks to advance science and technology in geoscience, remote sensing and related fields. IGARSS begins with a plenary session and tutorials on the most up-to-date topics. Paper, panel and poster sessions will be scheduled. The exhibit hall features the latest in geoscience instruments, equipment, software, publications, and scientific programs.
The 11th International Content Based Multimedia Indexing Workshop is to bring together the various communities involved in all aspects of content-based multimedia indexing, retrieval, browsing and presentation. The conference will host invited keynote talks and regular, special and demo sessions with contributed research papers.
Scope of the conference is to provide medium to discuss advances and applications of fusion methodologies. Conference will include contributions in the areas of fusion methodologies, theory and representation, algorithms and modelling and simulation.
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 ...
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 ...
The scope of the IEEE Transactions on Systems, Man and Cybernetics Part B: Cybernetics includes computational approaches to the field of cybernetics. Specifically, the transactions welcomes papers on communication and control across machines or between machines, humans, and organizations. The scope of Part B includes such areas as computational intelligence, computer vision, neural networks, genetic algorithms, machine learning, fuzzy systems, ...
The IEEE Transactions on Sustainable Energy is a cross disciplinary and internationally archival journal aimed at disseminating results of research on sustainable energy that relates to, arises from, or deliberately influences energy generation, transmission, distribution and delivery. The journal will publish original research on theories and development on principles of sustainable energy technologies and systems.This journal will cover the following ...
Lei Xu; Chunxiao Jiang; Jian Wang; Jian Yuan; Yong Ren Access, IEEE, 2014
The growing popularity and development of data mining technologies bring serious threat to the security of individual,'s sensitive information. An emerging research topic in data mining, known as privacy-preserving data mining (PPDM), has been extensively studied in recent years. The basic idea of PPDM is to modify the data in such a way so as to perform data mining algorithms ...
Data Mining, Fifth IEEE International Conference on, 2005
The following topics are dealt with: data mining and machine learning algorithms; mining semi-structured data, temporal, spatial, multimedia data; data stream mining; pattern recognition and trend analysis; collaborative filtering/personalization; complexity, efficiency, and scalability issues; data pre-processing/reduction, feature selection/transformation; large-scale data mining statistics and probability; soft computing and uncertainty management; high performance and parallel/distributed data mining; quality assessment and interestingness metrics; ...
Feng Bao; Xu He; Fengzhi Zhao Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on, 2010
The article detailedly addresses the features of the petrophysical data, logging data, seismic data and geological data based on the concepts of the data mining. The mining ideas regarding the petrophysical and logging data, seismic data and geological data are made based on their features. The article uses different mining ways to process the corresponding data, and describes the results ...
Wang, Guoyin; Jun Hu; Qinghua Zhang; Xianquan Liu; Jiaqing Zhou Granular Computing, 2008. GrC 2008. IEEE International Conference on, 2008
Usually, data mining is considered as the nontrivial extraction of implicit, previously unknown, and potentially useful information from data. In our data- driven data mining model, knowledge is originally existed in data, but just not understandable for human. Data mining is taken as a process of transforming knowledge from data format into some other human understandable format like rule, formula, ...
Muthukumar, A.; Nadarajan, R. Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on, 2007
A desired feature of data mining systems is the ability to support ad hoc and interactive data mining in order to facilitate flexible and effective knowledge discovery. Data mining query languages can be designed to support such a feature. There are data mining query languages like DMQLfor mining relational databases. In this paper, we have proposed a new data mining ...
Bezdek, James C. Fuzzy Cluster Analysis in Very Large Data Sets, 2009
This last module in the series discusses just one approach to the interesting and important problem of clustering in very large (VL) data. The target audience is graduate students majoring in engineering and science, and practicing engineers and scientists interested in either research about or applications of clustering applied to very large real world problems that occur in data mining, ...
Bezdek, James C. Tendency Assessment and Cluster Validity, 2008
This course - the second in a series of three - discusses several approaches to the first and third problems of clustering identified in module I - viz., pre-clustering tendency assessment and post-clustering cluster validation. The target audience comprises advanced undergraduate and graduate students majoring in engineering and science, and practicing engineers and scientists interested in either research about or ...
Bezdek, James C. A Primer on Cluster Analysis, 2008
This course- the first in a series of three - provides a foundation for understanding the field of cluster analysis in unlabeled data. The target audience for this course comprises undergraduate and graduate students majoring in engineering and science, as well as practicing engineers and scientists interested in either research about or applications of clustering to real world problems such ...
Big Data: Big Data in Medicine & Biology
Big Data: What's Next for Big Data Analytics
Dig Data: What's Next for Big Data
Big Data: Perspectives of the IEEE Reliability Society
26th Annual MTT-AP Symposium and Mini Show - Dr. Rob Holland
Concept of Arrays
TechNews: Big Data
ACADIS: brokering arctic data for research
Consequences of Big Data on the Individual
Stephen Brodsky: Big Data at the Speed of Business
Netflix's Chris Pouliot: How to Build a Data Science Team from Scratch
Richard Schreier Ph.D: Understanding Delta Sigma Data Converters
Big Data & the Cloud - A look at CLOUD 2013, Santa Clara Marriott
Michael Johnson: Big Data in Healthcare
ITEC 2014: Efficiency through the Data Link: Connected Cars & the Electrified Experience
Rebooting Computing: Randomness and Approximation
IEEE Themes - Learning about human behavior from mobile phone data
Yahoo's Raghu Ramakrishnan Discusses CAP and Cloud Data Management
Big Data & the Cloud: The Road Ahead
No standards are currently tagged "Data Mining"
Research Scientist II (Physiological Data Modeling) (208839) The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc.
C++ Software Engineer, Lead Newfield Wireless
Professor of Computer Science – Big Data The University of Luxembourg - Faculty of Science, Technology and Communication
Drexel University College of Computing & Informatics Faculty Positions in Computer Science Drexel University College of Computing & Informatics
Tenure-track Faculty position Indiana University Purdue University Indianapolis
Associate Director for Industry Collaborations and Partnerships University of Minnesota
Faculty Positions in Computing Science and Electrical Engineering at IIT Mandi Indian Institute of Technology Mandi
Data Scientist/Engineer Aptima, Inc.
ASU/Big Data Systems Faculty Positions Arizona State University
Faculty Position in Biomedical Engineering University of Waterloo
FACULTY POSITION Computer Science: Machine Learning & Big Data/Data Science NYU Shanghai
Academic Positions in the Faculty of Science and Technology University of Macau
Faculty Position in Computing and Information Sciences Kansas State University
Faculty Positions in Big Data Science University of Nebraska at Omaha / College of IS&T
Bank of America Endowed Chair and Director, Charlotte Visualization Center Greenwood/Asher & Associates, Inc.
Student Intern - Center for Cyber Defenders Technical Grad Summer 2015 (5600) Sandia National Laboratories
Student Intern - Center for Cyber Defenders Technical Undergrad Summer 2015 Sandia National Laboratories
Postdoctoral Appointee-Data Scientist (Computer Engineering) Sandia National Laboratories
Assistant/Associate/Full Professor - Bioenvironmental and Ecological Engineering NORTHEASTERN UNIVERSITY
R&D Data Engineer (Computer Systems Senior/Principal) Sandia National Laboratories
R&D S&E, Computer Science Senior/Principal Sandia National Laboratories
TIFER: TECNALIA’S INTERNATIONAL FELLOWSHIPS FOR EXPERIENCED RESEARCHERS 3rd CALL 2014 TECNALIA RESEARCH & INNOVATION