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KDD
2007
ACM
152views Data Mining» more  KDD 2007»
14 years 4 months ago
Efficient incremental constrained clustering
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...
Ian Davidson, S. S. Ravi, Martin Ester
KDD
2007
ACM
150views Data Mining» more  KDD 2007»
14 years 4 months ago
Feature selection methods for text classification
Anirban Dasgupta, Petros Drineas, Boulos Harb, Van...
KDD
2007
ACM
335views Data Mining» more  KDD 2007»
14 years 4 months ago
Detecting changes in large data sets of payment card data: a case study
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...
Chris Curry, Robert L. Grossman, David Locke, Stev...
KDD
2007
ACM
154views Data Mining» more  KDD 2007»
14 years 4 months ago
Canonicalization of database records using adaptive similarity measures
It is becoming increasingly common to construct databases from information automatically culled from many heterogeneous sources. For example, a research publication database can b...
Aron Culotta, Michael L. Wick, Robert Hall, Matthe...
KDD
2007
ACM
169views Data Mining» more  KDD 2007»
14 years 4 months ago
Exploiting underrepresented query aspects for automatic query expansion
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 ...
Daniel Crabtree, Peter Andreae, Xiaoying Gao
KDD
2007
ACM
165views Data Mining» more  KDD 2007»
14 years 4 months ago
Stochastic processes and temporal data mining
This article tries to give an answer to a fundamental question in temporal data mining: "Under what conditions a temporal rule extracted from up-to-date temporal data keeps i...
Paul Cotofrei, Kilian Stoffel
KDD
2007
ACM
161views Data Mining» more  KDD 2007»
14 years 4 months ago
Discovering the hidden structure of house prices with a non-parametric latent manifold model
Sumit Chopra, Trivikraman Thampy, John Leahy, Andr...
KDD
2007
ACM
201views Data Mining» more  KDD 2007»
14 years 4 months ago
Structural and temporal analysis of the blogosphere through community factorization
The blogosphere has unique structural and temporal properties since blogs are typically used as communication media among human individuals. In this paper, we propose a novel tech...
Yun Chi, Shenghuo Zhu, Xiaodan Song, Jun'ichi Tate...
KDD
2007
ACM
158views Data Mining» more  KDD 2007»
14 years 4 months ago
Evolutionary spectral clustering by incorporating temporal smoothness
Yun Chi, Xiaodan Song, Dengyong Zhou, Koji Hino, B...