- Author:David Hand,Daniel Keim,Raymond Ng
- Publisher:Assn for Computing Machinery (December 1, 2002)
- Subcategory:Databases & Big Data
- FB2 format1702 kb
- ePUB format1478 kb
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Start by marking Kdd-2002: Proceedings of the Eighth Acm Sigkdd International Conference on Knowledge Discovery and Data Mining July 23-26, 2002 Edmonton, Alberta, Canada as Want to Read: Want to Read savin. ant to Read. Kdd-2002: Proceedings. Jean rated it it was ok Feb 21, 2016.
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD .
Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD 1996). AAAI Press, Menlo Park (1996), ISBN 1-57735-004-9Google Scholar. Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, San Francisco, CA, USA. ACM, New York (2001)Google Scholar. Goebel, . Hand, . Keim, . Ng, R. (ed.
Published: 1 January 2002. by Association for Computing Machinery (ACM). Osmar R. Conference Chair-Zaïane, Randy General Chair-Goebel, David Program Chair-Hand, Daniel Program Chair-Keim, Raymond Program Chair-Ng. in the eighth ACM SIGKDD international conference. the eighth ACM SIGKDD international conference; doi:10. Published: 1 January 2002.
SESSION: KDD 2017 Applied Invited Talks. Mining Big Data in NeuroGenetics to Understand Muscular Dystrophy. Matrix Profile V: A Generic Technique to Incorporate Domain Knowledge into Motif Discovery. Hoang Anh Dau. Eamonn Keogh. Foreword to the Applied Data Science: Invited Talks Track at KDD-2017.
We advocate their use on the basis that they provide an efficient mapping procedure from the original dimension of the data, to a lower intrinsic dimension. We depict how they can accurately capture the user's perception of similarity in high-dimensional data for visualization purposes.
KDD-99 was the fifth conference in the KDD series attracting over 200 high quality submissions and almost .
Multirelational data mining 2003. December 2003 · ACM SIGKDD Explorations Newsletter.
Conferences and Proceedings. Join the conversation about this journal. The chart shows the evolution of the average number of times documents published in a journal in the past two, three and four years have been cited in the current year. It is based on the idea that 'all citations are not created equal'. The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric.
Megaputer will be exhibiting at the eighth ACM SIGKDD International . This conference will discuss the challenges of extracting knowledge from data and present leading techniques and software solutions. Start Date: 23/07/2002.
Megaputer will be exhibiting at the eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, held in Edmonton, Alberta, Canada this year. Location: Edmonton, Alberta, Canada. Contact Us. 1 (812) 330-0110.
Jul 23-26, KDD-2002: The Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data .
Jul 23-26, KDD-2002: The Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Edmonton, Alberta, Canada. Jul 28 - Aug 1, AAAI-02, The 18th National Conference on Artificial Intelligence, Edmonton, Alberta, Canada; August. Aug 19-23, 6th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD'02), co-located with 13th European Conference on Machine Learning (ECML'02), Helsinki, Finland. Aug 20-23, VLDB 2002, 28th International Conference on Very Large Data Bases, Hong Kong, China.
Edmonton, Alberta, Canada, 23-26 July 2002, pages 450-455. Seppänen J. Bingham E. and Mannila . 2003. A simple algorithm for topic identification in 0-1 data