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» A Perspective on Databases and Data Mining
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KDD
1994
ACM
82views Data Mining» more  KDD 1994»
15 years 8 months ago
Architectural Support for Data Mining
Oneof the mainobstacles in applying data mining techniques to large, real-world databasesis the lack of efficient data management.In this paper, wepresent the design and implement...
Marcel Holsheimer, Martin L. Kersten
117
Voted
ICDM
2006
IEEE
132views Data Mining» more  ICDM 2006»
15 years 10 months ago
Mining for Tree-Query Associations in a Graph
New applications of data mining, such as in biology, bioinformatics, or sociology, are faced with large datasets structured as graphs. We present an efficient algorithm for minin...
Eveline Hoekx, Jan Van den Bussche
GIS
2007
ACM
16 years 5 months ago
Cluster By: a new sql extension for spatial data aggregation
The development of areas such as remote and airborne sensing, location based services, and geosensor networks enables the collection of large volumes of spatial data. These datase...
Chengyang Zhang, Yan Huang
149
Voted
KDD
2007
ACM
170views Data Mining» more  KDD 2007»
16 years 5 months ago
From frequent itemsets to semantically meaningful visual patterns
Data mining techniques that are successful in transaction and text data may not be simply applied to image data that contain high-dimensional features and have spatial structures....
Junsong Yuan, Ying Wu, Ming Yang
124
Voted
SISAP
2008
IEEE
166views Data Mining» more  SISAP 2008»
15 years 11 months ago
Approximate Similarity Search in Genomic Sequence Databases Using Landmark-Guided Embedding
Similarity search in sequence databases is of paramount importance in bioinformatics research. As the size of the genomic databases increases, similarity search of proteins in the...
Ahmet Sacan, Ismail Hakki Toroslu