Published 2006
by ACM Press in New York, NY .
Written in English
Edition Notes
| Other titles | Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD "06 |
| Statement | edited by Lyle Ungar, general chair ; Mark Craven & Dimitrios Gunopulos, program chairs ; Tina Eliassi-Rad, proceedings chair ; sponsored by ACM Special Interest Group on Knowledge Discovery and Data Mining and ACM Special Interest Group on Management of Data. |
| Genre | Congresses. |
| Contributions | Ungar, Lyle., Craven, Mark., Gunopulos, Dimitrios, 1967-, Eliassi-Rad, Tina., Association for Computing Machinery. Special Interest Group on Knowledge Discovery & Data Mining., Association for Computing Machinery. Special Interest Group on Management of Data. |
| Classifications | |
|---|---|
| LC Classifications | QA76.9.D3 I55866 2006 |
| The Physical Object | |
| Pagination | xxii, 962 p. : |
| Number of Pages | 962 |
| ID Numbers | |
| Open Library | OL16294834M |
| ISBN 10 | 1595933395 |
| LC Control Number | 2006299429 |
Electronic book Congresses: Additional Physical Format: KDD (OCoLC) Material Type: Conference publication, Document, Internet resource: Document Type: Internet Resource, Computer File: All Authors / Contributors: Lyle Ungar; Mark Craven; Dimitrios Gunopulos; Tina Eliassi-Rad; Association for Computing Machinery. Special Interest. Web Mining and Web Usage Analysis. Held in conjunction with The 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD ) August , , Philadelphia, Pennsylvania WebKDD'06 brochure. Advances in Web Mining and Web Usage Analysis: 8th International Workshop on Knowledge Discovery on the Web, WebKDD Philadelphia, PA, USA, August (Lecture Notes in Computer Science ()) [Nasraoui, Olfa] on *FREE* shipping on qualifying offers. Advances in Web Mining and Web Usage Analysis: 8th International Workshop on Knowledge Discovery on the WebPrice: $ This book contains the postworkshop proceedings with selected revised papers from the 8th international workshop on knowledge discovery from the Web, WEBKDD The WEBKDD workshop series has taken place as part of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) since
IBM Entity Analytic Solutions Perpetual Analytics ΠData finds data and relevance finds the user ' IBM Corporation Identities, Events, Sensors and Observations Identities FEATURES: Mark Randal Smith Main Street DOB 06/07/74 Observations Mark Randy Smith Main Street Record #A Randal Smith DOB: 06/07/74 Record #B Hanghang Tong and Christos Faloutsos. Center-Piece Subgraphs: Problem Definition and Fast Solutions, KDD , Philadelphia, PA. Hanghang Tong, Brian Gallagher, Tina Eliassi-Rad, and Christos Faloutsos. Fast best-effort pattern matching in large attributed graphs, KDD , San Jose, CA. Hanghang Tong, Yehuda Koren, and Christos Faloutsos. Instead of proceedings, a book was published (Machine Learning: an Artificial Intelligence Approach, ed. Michalski, Carbonell, and Mitchell, Morgan Kaufman, ) containing sixteen research papers, and also a "comprehensive bibliography" of the field of machine learning, as it stood in Ye, J & Wang, T , Regularized discriminant analysis for high dimensional, low sample size data. in KDD Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, vol. , pp. , KDD 12th ACM SIGKDD Cited by:
KDD Subtitle of host publication: Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining: Pages: Number of pages: State: Published - Oct 16 Externally published: Yes: Event: KDD 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Abstract. Using a book co-buying network from of over 1 million books, we find empirically that readers who have purchased male first authors before are substantially less likely than expected to buy books by female first authors, when aggregated across the entire book market. Conversely, past buyers of female authors are slightly more likely than expected to buy other female Cited by: 1. Related Links: KDD ; SIGKDD; MDM/KDD The aim of the workshop is to bring together experts in analysis of digital media content, state-of-art data mining and knowledge discovery in multimedia database systems, knowledge engineers and domain experts from different applied disciplines with potential in multimedia data mining.
