194
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KDD
2007
ACM
16 years 7 months ago
2007
ACM
We present a family of algorithms to uncover tribes--groups of individuals who share unusual sequences of affiliations. While much work inferring community structure describes lar...
198
click to vote
KDD
2007
ACM
16 years 7 months ago
2007
ACM
Commercial datasets are often large, relational, and dynamic. They contain many records of people, places, things, events and their interactions over time. Such datasets are rarel...
136
Voted
KDD
2007
ACM
16 years 7 months ago
2007
ACM
312
Voted
KDD
2007
ACM
16 years 7 months ago
2007
ACM
194
click to vote
KDD
2007
ACM
16 years 7 months ago
2007
ACM
Clustering with constraints is an emerging area of data mining research. However, most work assumes that the constraints are given as one large batch. In this paper we explore the...
188
click to vote
KDD
2007
ACM
16 years 7 months ago
2007
ACM
An important problem in data mining is detecting changes in large data sets. Although there are a variety of change detection algorithms that have been developed, in practice it c...
220
click to vote
KDD
2007
ACM
16 years 7 months ago
2007
ACM
It is becoming increasingly common to construct databases from information automatically culled from many heterogeneous sources. For example, a research publication database can b...
213
click to vote
KDD
2007
ACM
16 years 7 months ago
2007
ACM
Users attempt to express their search goals through web search queries. When a search goal has multiple components or aspects, documents that represent all the aspects are likely ...