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WSDM
2012
ACM
285views Data Mining» more  WSDM 2012»
14 years 2 months ago
Probabilistic models for personalizing web search
We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...
ACSC
2002
IEEE
15 years 11 months ago
Using Finite State Automata for Sequence Mining
We show how frequently occurring sequential patterns may be found from large datasets by first inducing a finite state automaton model describing the data, and then querying the m...
Philip Hingston
SWAT
1994
Springer
117views Algorithms» more  SWAT 1994»
15 years 10 months ago
Lower Bounds for Dynamic Algorithms
We study the complexity of the dynamic partial sum problem in the cell-probe model. We give the model access to nondeterministic queries and prove that the problem remains hard. We...
Michael L. Fredman
AUSDM
2008
Springer
227views Data Mining» more  AUSDM 2008»
15 years 8 months ago
Exploratory Mining over Organisational Communications Data
Exploratory data mining is fundamental to fostering an appreciation of complex datasets. For large and continuously growing datasets, such as obtained by regular sampling of an or...
Alan Allwright, John F. Roddick
CIDR
2007
106views Algorithms» more  CIDR 2007»
15 years 8 months ago
One table stores all: Enabling painless free-and-easy data publishing and sharing
In this paper, we present a free-and-easy data publishing and sharing system based on folksonomy. The system accepts data objects described with user-created metadata, called data...
Beng Chin Ooi, Bei Yu, Guoliang Li