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KDD
2009
ACM
152views Data Mining» more  KDD 2009»
16 years 3 months ago
TANGENT: a novel, 'Surprise me', recommendation algorithm
Most of recommender systems try to find items that are most relevant to the older choices of a given user. Here we focus on the "surprise me" query: A user may be bored ...
Kensuke Onuma, Hanghang Tong, Christos Faloutsos
AUSDM
2007
Springer
193views Data Mining» more  AUSDM 2007»
15 years 8 months ago
Are Zero-suppressed Binary Decision Diagrams Good for Mining Frequent Patterns in High Dimensional Datasets?
Mining frequent patterns such as frequent itemsets is a core operation in many important data mining tasks, such as in association rule mining. Mining frequent itemsets in high-di...
Elsa Loekito, James Bailey
VLDB
2008
ACM
170views Database» more  VLDB 2008»
16 years 2 months ago
A layered framework supporting personal information integration and application design for the semantic desktop
With the development of inexpensive storage devices, space usage is no longer a bottleneck for computer users. However, the increasingly large amount of personal information poses ...
Isabel F. Cruz, Huiyong Xiao
IWCIA
2009
Springer
15 years 9 months ago
Signatures of Combinatorial Maps
Abstract. In this paper, we address the problem of computing a canonical representation of an n-dimensional combinatorial map. To do so, we define two combinatorial map signatures...
Stéphane Gosselin, Guillaume Damiand, Chris...
163
Voted
SODA
2010
ACM
704views Algorithms» more  SODA 2010»
15 years 12 months ago
A locality-sensitive hash for real vectors
We present a simple and practical algorithm for the c-approximate near neighbor problem (c-NN): given n points P Rd and radius R, build a data structure which, given q Rd , can ...
Tyler Neylon