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3 edition of 2001 IEEE International Conference on Data Mining found in the catalog.

2001 IEEE International Conference on Data Mining

proceedings : 29 November-2 December, 2001, San Jose, California

by IEEE International Conference on Data Mining (1st 2001 San Jose, California)

  • 95 Want to read
  • 30 Currently reading

Published by IEEE Computer Society in Los Alamitos, California .
Written in English

    Subjects:
  • Data mining -- Congresses.

  • Edition Notes

    Other titlesInternational Conference on Data Mining, ICDM 2001
    Statementedited by Nick Cercone, T.Y. Lin, Xindong Wu ; sponsored by IEEE Computer Society Technical Committee on Pattern Analysis and mahine Intelligence (TCPAMI) ... [et al.].
    GenreCongresses.
    ContributionsCercone, Nick., Lin, Tsau Y., 1937-, Wu, Xindong., IEEE Computer Society. Technical Committee on Pattern Analysis and Machine Intelligence.
    Classifications
    LC ClassificationsQA76.9.D343 I133 2001
    The Physical Object
    Paginationxxi, 677 p. :
    Number of Pages677
    ID Numbers
    Open LibraryOL22464483M
    ISBN 100769511198, 0769511201, 076951121X

    Best Paper Award: "Efficiently Maintaining the Performance of an Ensemble Classifier in Streaming Data," at the International Conference on Convergence and Hybrid Information Technology - ICHIT , Daejeon, Korea, Aug Faculty Favorite: Outstanding Professor nominated by University of Louisville students, September Book on "Big Data Analytics for Internet of Things" IEEE International Conference on Multimedia Big Data New Delhi: security and privacy internet of things machine learning data mining: 25th FRSM 25th International Symposium on Frontiers of Research in Speech and Music: Silchar: Oct 8. Third IEEE International Conference on Big Data Computing Service and Applications, BigDataService , Redwood City, CA, USA, April , IEEE , ISBN April 6,


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2001 IEEE International Conference on Data Mining by IEEE International Conference on Data Mining (1st 2001 San Jose, California) Download PDF EPUB FB2

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CD-ROM only. Get this from a library. IEEE International Conference on Data Mining: proceedings: 29 November-2 December,San Jose, California. [Nick Cercone; Tsau Y Lin; Xindong Wu; IEEE Computer Society. Technical Committee on Pattern Analysis and Machine Intelligence.;].

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Article #: Date of Conference: 29 Nov Dec. Date Added to IEEE Xplore: 07 August ISBN Information: Print ISBN: INSPEC Accession Number: DOI: /ICDM. Ma S, Hellerstein JL () Mining partially periodic event patterns with unknown periods.

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Webb, Bing Liu, Chengqi Zhang, Dimitrios Gunopulos, and Xindong Wu. BREIMAN, L. Random forests. Machine Learn 1, 5– In Proc. of the IEEE International Conference on Data Mining ().

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Data Mining and Big Data Analytics Technical Committee Governance. Under the supervision and the coordination of the IEEE CIS Technical Activities Committee, The Data Mining and Big Data Analytics Technical Committee (DMTC) is established to: (1) promote the research, development, education and understanding the principles and applications of data mining and big data analytics and (2) to help.

The IEEE International Conference on Data Mining series (ICDM) has established itself as the world's premier research conference in data mining. It provides an international forum for presentation of original research results, as well as exchange and dissemination of innovative, practical development experiences.

SIAM International Conference on Data Mining (1st: Chicago, Ill.) Title Proceedings of the First SIAM International Conference on Data Mining [electronic resource]: April, Chicago, IL, USA. Format Book CD-ROM Published Philadelphia, PA: Society for Industrial and Applied Mathematics, c Description.

The IEEE International Conference on Data Mining (ICDM) has established itself as the world's premier research conference in data mining. The 6th ICDM conference (ICDM '06) provides a premier forum for the dissemination of innovative, practical development experiences as well as original research results in data mining, spanning applications, algorithms, software and systems.

The IEEE International Conference on Data Mining series (ICDM) has established itself as the world’s premier research conference in data mining. It provides an international forum for presentation of original research results, as well as exchange and dissemination of innovative, practical ers: K.

He has also served as program chairs of IEEE International Conference on Data Mining (ICDM), ACM Conference on Web Search and Data Mining (WSDM), ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), SIAM Conference on Data Mining (SDM), ACM Conference on Information and Knowledge Management (CIKM.

13th IEEE International Conference on Tools With Artificial Intelligence: Ictai NovemberDallas, Texas on *FREE* shipping on qualifying offers. 13th IEEE International Conference on Tools With Artificial Intelligence. Data Mining Case Studies Proceedings of the First International Workshop on Data Mining Case Studies held at the IEEE International Conference on Data Mining Houston, USA.

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ACM 2nd International Conference on Image Processing and Machine Vision (IPMV )--EI Compendex, Scopus: Aug 5, - Aug 7, Bangkok, Thailand: MLDMCD Call for Book Chapters on “Machine Learning and Data Mining for Emerging Trends in Cyber Dynamics” to be published by Springer Verlag: - Aug.

ICDM’ IEEE International Conference on Data Mining, Barcelona, DecemberIn press. Wen Q, Stirling BD, Sha L, Shen L, Whalen PJ, Wu Y.

() Parcellation of human amygdala subfields using orientation distribution function and spectral k-means clustering. IEEE Conferences Committee formulates and recommends actions, strategies, and policies for IEEE conferences.

It provides oversight for conference-related activities, has jurisdiction over all 1,+ IEEE global conferences, and ensures compliance per all IEEE Policies - Section 10 (PDF, 1 MB).

The committee is administratively a standing committee of TAB with members from IEEE Technical. Kumar has served as chair/co-chair for many international conferences in the area of data mining, big data, and high performance computing, including 25th SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ), IEEE International Conference on Big Data, IEEE International Conference on Data Mining (), and International.

Title: Frequent subgraph discovery - Data Mining, ICDMProceedings IEEE International Conference on Created Date: 7/31/ PM. Proceedings - IEEE International Conference on Data Mining, ICDM. Country: United States - SIR Ranking of United States: Publication type: Conferences and Proceedings: ISSN:,Coverage:Join the conversation about this journal: SJR Data Source: Scopus®.

A practical approach to classify evolving data streams: Training with limited amount of labeled data MM Masud, J Gao, L Khan, J Han, B Thuraisingham Eighth IEEE International Conference on Data Mining, Zijian Zheng, Ron Kohavi, and Llew Mason, Real World Performance of Association Rule Algorithms, KDD Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, pages, long version, and slides.

DOI. The datasets (bms-pos, bms-webview-2) and bms-webview Data Mining and Information Retrieval is an emerging interdisciplinary discipline dealing with Information Retrieval and Data Mining techniques. It has undergone rapid development with the advances in mathematics, statistics, information science, and computer : Jiaying Liu, Xiangjie Kong, Xinyu Zhou, Lei Wang, Da Zhang, Ivan Lee, Bo Xu, Feng Xia.

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In: Proceedings of the 6th IEEE International Conference on Data Mining (ICDM'06), Hong Kong, China,pp X.-Y. Liu, J. Wu, and Z.-H. Zhou. Exploratory under-sampling for class-imbalance learning.

In: Proceedings of the 6th IEEE International Conference on Data Mining (ICDM'06), Hong. Mario Frank, Ben Dong, Adrienne Porter Felt, Dawn Song. Proceedings of the IEEE International Conference on Data Mining (ICDM), page(s): December Evolution of Social-Attribute Networks: Measurements, Modeling, and Implications using Google+.

From its institution as the Neural Networks Council in the early s, the IEEE Computational Intelligence Society has rapidly grown into a robust community with a vision for addressing real-world issues with biologically-motivated computational paradigms. The Society offers leading research in nature-inspired problem solving, including neural networks, evolutionary algorithms, fuzzy systems.

He was the editor-in-chief of the IEEE Transactions on Knowledge and Data Engineering (TKDE, by the IEEE Computer Society) between 1 January and 31 December He served as Program Committee Chair/Co-Chair for ICDM ’03 (the IEEE International Conference on Data Mining), KDD (the 13th ACM SIGKDD International Conference on.

SAS e-Intelligence(). Data Mining in the Insurance industry: Solving Business problems using SAS Enterprise Miner Software, White Paper. Shao, H., Zhao, H. & Chang, G. Applying Data Mining to Detect Fraud Behavior in Customs Declaration.

Proc. of 1st International Conference on Machine Learning and Cybernetics, Sherman, E Cited by: 6. IEEE International Conference on Data Mining (ICDM), Vancouver, Canada, (Full paper, /=%) Xiao Cai, Feiping Nie, Heng Huang, and Chris Ding.

Multi-Class L2,1-Norms Support Vector Machine. IEEE International Conference on Data Mining (ICDM), Vancouver, Canada, T. Kamishima and S. Akaho “Learning from Order Examples” Proceedings of the 2nd IEEE International Conference on Data Mining (ICDM), pp () official-site, article, poster Journals.

Peng has the best paper award in ACM Workshop on location-based social network and the best student paper award in IEEE International Conference on Mobile Data Management His research interests include mobile computing, network data management and data mining.

He is a member of IEEE. Professional Experiences. A scalable algorithm for clustering sequential data - Data Mining, ICDMProceedings IEEE International Conference on Created Date: 7/31/ PM.This page describes mining for molecules. Since molecules may be represented by molecular graphs this is strongly related to graph mining and structured data mining.

The main problem is how to represent molecules while discriminating the data instances. Top Research Ebook in Data Mining, Data Science: Here are the top 10 research conferences, based on the last 10 years data.

The leading conference is - KDD (), both by Field rating and by Citations/Publication. Here is a full.