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» A Perspective on Databases and Data Mining
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ICDM
2003
IEEE
99views Data Mining» more  ICDM 2003»
15 years 12 months ago
Scalable Model-based Clustering by Working on Data Summaries
The scalability problem in data mining involves the development of methods for handling large databases with limited computational resources. In this paper, we present a two-phase...
Huidong Jin, Man Leung Wong, Kwong-Sak Leung
PKDD
2010
Springer
124views Data Mining» more  PKDD 2010»
15 years 5 months ago
Summarising Data by Clustering Items
Abstract. For a book, the title and abstract provide a good first impression of what to expect from it. For a database, getting a first impression is not so straightforward. Whil...
Michael Mampaey, Jilles Vreeken
KDD
2010
ACM
188views Data Mining» more  KDD 2010»
15 years 4 months ago
Trust network inference for online rating data using generative models
In an online rating system, raters assign ratings to objects contributed by other users. In addition, raters can develop trust and distrust on object contributors depending on a f...
Freddy Chong Tat Chua, Ee-Peng Lim
KDD
2009
ACM
183views Data Mining» more  KDD 2009»
16 years 7 months ago
OLAP on search logs: an infrastructure supporting data-driven applications in search engines
Search logs, which contain rich and up-to-date information about users' needs and preferences, have become a critical data source for search engines. Recently, more and more ...
Bin Zhou 0002, Daxin Jiang, Jian Pei, Hang Li
KDD
2006
ACM
122views Data Mining» more  KDD 2006»
16 years 7 months ago
Measuring and extracting proximity in networks
Measuring distance or some other form of proximity between objects is a standard data mining tool. Connection subgraphs were recently proposed as a way to demonstrate proximity be...
Yehuda Koren, Stephen C. North, Chris Volinsky