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ICCS
2003
Springer
15 years 5 months ago
A Compress-Based Association Mining Algorithm for Large Dataset
The association mining is one of the primary sub-areas in the field of data mining. This technique had been used in numerous practical applications, including consumer market baske...
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith
ISRR
2001
Springer
98views Robotics» more  ISRR 2001»
15 years 4 months ago
Stride Period Adaptation for a Biomimetic Running Hexapod
We demonstrate an adaptation strategy for adjusting the stride period in a hexapedal running robot. The robot is inspired by discoveries about the self-stabilizing properties of i...
Jonathan K. Karpick, Jorge G. Cham, Jonathan E. Cl...
KDD
1998
ACM
122views Data Mining» more  KDD 1998»
15 years 4 months ago
Memory Placement Techniques for Parallel Association Mining
Many data mining tasks (e.g., Association Rules, Sequential Patterns) use complex pointer-based data structures (e.g., hash trees) that typically suffer from sub-optimal data loca...
Srinivasan Parthasarathy, Mohammed Javeed Zaki, We...
IDA
2010
Springer
15 years 3 months ago
Deterministic Finite Automata in the Detection of EEG Spikes and Seizures
This Paper presents a platform to mine epileptiform activity from Electroencephalograms (EEG) by combining the methodologies of Deterministic Finite Automata (DFA) and Knowledge Di...
Rory A. Lewis, Doron Shmueli, Andrew M. White
GECCO
2006
Springer
159views Optimization» more  GECCO 2006»
15 years 3 months ago
Identification of weak motifs in multiple biological sequences using genetic algorithm
Recognition of motifs in multiple unaligned sequences provides an insight into protein structure and function. The task of discovering these motifs is very challenging because mos...
Topon Kumar Paul, Hitoshi Iba