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SSDBM
2005
IEEE
175views Database» more  SSDBM 2005»
14 years 3 months ago
Assumption-Free Anomaly Detection in Time Series
Recent advancements in sensor technology have made it possible to collect enormous amounts of data in real time. However, because of the sheer volume of data most of it will never...
Li Wei, Nitin Kumar, Venkata Nishanth Lolla, Eamon...
SAC
2004
ACM
14 years 3 months ago
An optimized approach for KNN text categorization using P-trees
The importance of text mining stems from the availability of huge volumes of text databases holding a wealth of valuable information that needs to be mined. Text categorization is...
Imad Rahal, William Perrizo
PKDD
1999
Springer
106views Data Mining» more  PKDD 1999»
14 years 2 months ago
Heuristic Measures of Interestingness
When mining a large database, the number of patterns discovered can easily exceed the capabilities of a human user to identify interesting results. To address this problem, variou...
Robert J. Hilderman, Howard J. Hamilton
ICDE
2007
IEEE
190views Database» more  ICDE 2007»
14 years 1 months ago
CPS-tree: A Compact Partitioned Suffix Tree for Disk-based Indexing on Large Genome Sequences
Suffix tree is an important data structure for indexing a long sequence (like a genome sequence) or a concatenation of sequences. It finds many applications in practice, especiall...
Swee-Seong Wong, Wing-Kin Sung, Limsoon Wong
DASFAA
2004
IEEE
125views Database» more  DASFAA 2004»
14 years 1 months ago
Reducing Communication Cost in a Privacy Preserving Distributed Association Rule Mining
Data mining is a process that analyzes voluminous digital data in order to discover hidden but useful patterns from digital data. However, discovery of such hidden patterns has sta...
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith