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KDD
2004
ACM
111views Data Mining» more  KDD 2004»
16 years 23 days ago
Rapid detection of significant spatial clusters
Daniel B. Neill, Andrew W. Moore
99
Voted
KDD
2004
ACM
139views Data Mining» more  KDD 2004»
16 years 23 days ago
Machine learning for online query relaxation
In this paper we provide a fast, data-driven solution to the failing query problem: given a query that returns an empty answer, how can one relax the query's constraints so t...
Ion Muslea
KDD
2004
ACM
209views Data Mining» more  KDD 2004»
16 years 23 days ago
Tracking dynamics of topic trends using a finite mixture model
In a wide range of business areas dealing with text data streams, including CRM, knowledge management, and Web monitoring services, it is an important issue to discover topic tren...
Satoshi Morinaga, Kenji Yamanishi
82
Voted
KDD
2004
ACM
108views Data Mining» more  KDD 2004»
16 years 23 days ago
Sleeved coclustering
A coCluster of a m?n matrix X is a submatrix determined by a subset of the rows and a subset of the columns. The problem of finding coClusters with specific properties is of inter...
Avraham A. Melkman, Eran Shaham
96
Voted
KDD
2004
ACM
168views Data Mining» more  KDD 2004»
16 years 23 days ago
Mining, indexing, and querying historical spatiotemporal data
In many applications that track and analyze spatiotemporal data, movements obey periodic patterns; the objects follow the same routes (approximately) over regular time intervals. ...
Nikos Mamoulis, Huiping Cao, George Kollios, Mario...
101
Voted
KDD
2004
ACM
150views Data Mining» more  KDD 2004»
16 years 23 days ago
A framework for ontology-driven subspace clustering
Traditional clustering is a descriptive task that seeks to identify homogeneous groups of objects based on the values of their attributes. While domain knowledge is always the bes...
Jinze Liu, Wei Wang 0010, Jiong Yang
107
Voted
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
16 years 23 days ago
Visually mining and monitoring massive time series
Moments before the launch of every space vehicle, engineering discipline specialists must make a critical go/no-go decision. The cost of a false positive, allowing a launch in spi...
Jessica Lin, Eamonn J. Keogh, Stefano Lonardi, Jef...
98
Voted
KDD
2004
ACM
143views Data Mining» more  KDD 2004»
16 years 23 days ago
Incremental maintenance of quotient cube for median
Data cube pre-computation is an important concept for supporting OLAP(Online Analytical Processing) and has been studied extensively. It is often not feasible to compute a complet...
Cuiping Li, Gao Cong, Anthony K. H. Tung, Shan Wan...