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» Approximate data mining in very large relational data
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SDM
2004
SIAM
144views Data Mining» more  SDM 2004»
15 years 3 months ago
RBA: An Integrated Framework for Regression based on Association Rules
This paper explores a novel framework for building regression models using association rules. The model consists of an ordered set of IF-THEN rules, where the rule consequent is t...
Aysel Ozgur, Pang-Ning Tan, Vipin Kumar
121
Voted
KDD
2008
ACM
153views Data Mining» more  KDD 2008»
16 years 2 months ago
Information extraction from Wikipedia: moving down the long tail
Not only is Wikipedia a comprehensive source of quality information, it has several kinds of internal structure (e.g., relational summaries known as infoboxes), which enable self-...
Fei Wu, Raphael Hoffmann, Daniel S. Weld
PKDD
2009
Springer
124views Data Mining» more  PKDD 2009»
15 years 8 months ago
Capacity Control for Partially Ordered Feature Sets
Abstract. Partially ordered feature sets appear naturally in many classification settings with structured input instances, for example, when the data instances are graphs and a fe...
Ulrich Rückert
KDD
1995
ACM
167views Data Mining» more  KDD 1995»
15 years 5 months ago
Efficient Algorithms for Attribute-Oriented Induction
Data mining or knowledge discovery in databasesis the search for relationships and global patterns that exist but are hidden in large databases.Many different methodshave been pro...
Hoi-Yee Hwang, Ada Wai-Chee Fu
SDM
2008
SIAM
139views Data Mining» more  SDM 2008»
15 years 3 months ago
Proximity Tracking on Time-Evolving Bipartite Graphs
Given an author-conference network that evolves over time, which are the conferences that a given author is most closely related with, and how do they change over time? Large time...
Hanghang Tong, Spiros Papadimitriou, Philip S. Yu,...