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» Crime Pattern Detection Using Data Mining
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ICISC
2004
169views Cryptology» more  ICISC 2004»
15 years 7 months ago
ADWICE - Anomaly Detection with Real-Time Incremental Clustering
Abstract. Anomaly detection, detection of deviations from what is considered normal, is an important complement to misuse detection based on attack signatures. Anomaly detection in...
Kalle Burbeck, Simin Nadjm-Tehrani
INCDM
2010
Springer
125views Data Mining» more  INCDM 2010»
15 years 8 months ago
Web-Site Boundary Detection
Defining the boundaries of a web-site, for (say) archiving or information retrieval purposes, is an important but complicated task. In this paper a web-page clustering approach to...
Ayesh Alshukri, Frans Coenen, Michele Zito
BMCBI
2005
117views more  BMCBI 2005»
15 years 6 months ago
Differentiation of regions with atypical oligonucleotide composition in bacterial genomes
Background: Complete sequencing of bacterial genomes has become a common technique of present day microbiology. Thereafter, data mining in the complete sequence is an essential st...
Oleg N. Reva, Burkhard Tümmler
HICSS
2010
IEEE
258views Biometrics» more  HICSS 2010»
15 years 6 months ago
An Empirical Comparison of Four Text Mining Methods
The amount of textual data that is available for researchers and businesses to analyze is increasing at a dramatic rate. This reality has led IS researchers to investigate various...
Sangno Lee, Jeff Baker, Jaeki Song, James C. Wethe...
VLSISP
2011
358views Database» more  VLSISP 2011»
15 years 1 months ago
Accelerating Machine-Learning Algorithms on FPGAs using Pattern-Based Decomposition
Machine-learning algorithms are employed in a wide variety of applications to extract useful information from data sets, and many are known to suffer from superlinear increases in ...
Karthik Nagarajan, Brian Holland, Alan D. George, ...