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» Graph Mining based on a Data Partitioning Approach
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ICPR
2008
IEEE
15 years 7 months ago
An approximate algorithm for median graph computation using graph embedding
Graphs are powerful data structures that have many attractive properties for object representation. However, some basic operations are difficult to define and implement, for ins...
Miquel Ferrer, Ernest Valveny, Francesc Serratosa,...
ICRA
1999
IEEE
90views Robotics» more  ICRA 1999»
15 years 5 months ago
Performance of a Partitioned Visual Feedback Controller
We present a novel approach we call partitioning where the robot's degrees- of-freedom (D OF) are categorized into two classes based on joint kinematics and dynamics to desig...
Paul Y. Oh, Peter K. Allen
124
Voted
CATE
2004
190views Education» more  CATE 2004»
15 years 2 months ago
Enhancing Online Learning Performance: An Application of Data Mining Methods
Recently web-based educational systems collect vast amounts of data on user patterns, and data mining methods can be applied to these databases to discover interesting associations...
Behrouz Minaei-Bidgoli, Gerd Kortemeyer, William F...
106
Voted
KDD
2004
ACM
150views Data Mining» more  KDD 2004»
16 years 1 months ago
Complete This Puzzle: A Connectionist Approach to Accurate Web Recommendations Based on a Committee of Predictors
Abstract. We present a Context Ultra-Sensitive Approach based on two-step Recommender systems (CUSA-2step-Rec). Our approach relies on a committee of profile-specific neural networ...
Olfa Nasraoui, Mrudula Pavuluri
KDD
2000
ACM
129views Data Mining» more  KDD 2000»
15 years 4 months ago
Evolutionary algorithms in data mining: multi-objective performance modeling for direct marketing
Predictive models in direct marketing seek to identify individuals most likely to respond to promotional solicitations or other intervention programs. While standard modeling appr...
Siddhartha Bhattacharyya