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KDD
2010
ACM
215views Data Mining» more  KDD 2010»
15 years 10 months ago
On the quality of inferring interests from social neighbors
This paper intends to provide some insights of a scientific problem: how likely one’s interests can be inferred from his/her social connections – friends, friends’ friends,...
Zhen Wen, Ching-Yung Lin
ER
2006
Springer
87views Database» more  ER 2006»
15 years 10 months ago
Spatio-temporal and Multi-representation Modeling: A Contribution to Active Conceptual Modeling
Worldwide globalization increases the complexity of problem solving and decision-making, whatever the endeavor is. This calls for a more accurate and complete understanding of unde...
Stefano Spaccapietra, Christine Parent, Esteban Zi...
KDD
2007
ACM
184views Data Mining» more  KDD 2007»
16 years 7 months ago
Correlation search in graph databases
Correlation mining has gained great success in many application domains for its ability to capture the underlying dependency between objects. However, the research of correlation ...
Yiping Ke, James Cheng, Wilfred Ng
AUSDM
2007
Springer
164views Data Mining» more  AUSDM 2007»
16 years 29 days ago
SemGrAM - Integrating Semantic Graphs into Association Rule Mining
To date, most association rule mining algorithms have assumed that the domains of items are either discrete or, in a limited number of cases, hierarchical, categorical or linear. ...
John F. Roddick, Peter Fule
SBACPAD
2003
IEEE
180views Hardware» more  SBACPAD 2003»
16 years 1 days ago
New Parallel Algorithms for Frequent Itemset Mining in Very Large Databases
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
Adriano Veloso, Wagner Meira Jr., Srinivasan Parth...