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WSDM
2009
ACM
115views Data Mining» more  WSDM 2009»
16 years 1 months ago
Discovering and using groups to improve personalized search
Personalized Web search takes advantage of information about an individual to identify the most relevant results for that person. A challenge for personalization lies in collectin...
Jaime Teevan, Meredith Ringel Morris, Steve Bush
KDD
1998
ACM
147views Data Mining» more  KDD 1998»
15 years 10 months ago
ADtrees for Fast Counting and for Fast Learning of Association Rules
Abstract: The problem of discovering association rules in large databases has received considerable research attention. Much research has examined the exhaustive discovery of all a...
Brigham S. Anderson, Andrew W. Moore
SDM
2008
SIAM
161views Data Mining» more  SDM 2008»
15 years 7 months ago
Efficient Maximum Margin Clustering via Cutting Plane Algorithm
Maximum margin clustering (MMC) is a recently proposed clustering method, which extends the theory of support vector machine to the unsupervised scenario and aims at finding the m...
Bin Zhao, Fei Wang, Changshui Zhang
SIGMOD
2008
ACM
203views Database» more  SIGMOD 2008»
16 years 6 months ago
Querying continuous functions in a database system
Many scientific, financial, data mining and sensor network applications need to work with continuous, rather than discrete data e.g., temperature as a function of location, or sto...
Arvind Thiagarajan, Samuel Madden
JCDL
2009
ACM
204views Education» more  JCDL 2009»
16 years 29 days ago
Developing a flexible content model for media repositories: a case study
This article describes the process and challenges of developing a content model that can support the content and metadata present in a complex media archive. Media archives have s...
Christopher A. Beer, Peter D. Pinch, Karen Cariani