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» A New Algorithm for Mining Sequential Patterns
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DMKD
1997
ACM
198views Data Mining» more  DMKD 1997»
13 years 11 months ago
Clustering Based On Association Rule Hypergraphs
Clustering in data mining is a discovery process that groups a set of data such that the intracluster similarity is maximized and the intercluster similarity is minimized. These d...
Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad...
SIGMOD
2010
ACM
249views Database» more  SIGMOD 2010»
13 years 7 months ago
Worry-free database upgrades: automated model-driven evolution of schemas and complex mappings
Schema evolution is an unavoidable consequence of the application development lifecycle. The two primary schemas in an application, the client conceptual object model and the pers...
James F. Terwilliger, Philip A. Bernstein, Adi Unn...
PREMI
2005
Springer
14 years 29 days ago
Geometric Decision Rules for Instance-Based Learning Problems
In the typical nonparametric approach to classification in instance-based learning and data mining, random data (the training set of patterns) are collected and used to design a d...
Binay K. Bhattacharya, Kaustav Mukherjee, Godfried...
SAC
2004
ACM
14 years 27 days 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
TASE
2010
IEEE
13 years 2 months ago
Optimization of Group Elevator Scheduling With Advance Information
Group elevator scheduling has received considerable attention due to its importance to transportation efficiency for mid-rise and high-rise buildings. One important trend to improv...
Jin Sun, Qianchuan Zhao, Peter B. Luh