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DAWAK
2006
Springer
15 years 11 months ago
An Approximate Approach for Mining Recently Frequent Itemsets from Data Streams
Recently, the data stream, which is an unbounded sequence of data elements generated at a rapid rate, provides a dynamic environment for collecting data sources. It is likely that ...
Jia-Ling Koh, Shu-Ning Shin
FIMI
2004
175views Data Mining» more  FIMI 2004»
15 years 8 months ago
CT-PRO: A Bottom-Up Non Recursive Frequent Itemset Mining Algorithm Using Compressed FP-Tree Data Structure
Frequent itemset mining (FIM) is an essential part of association rules mining. Its application for other data mining tasks has also been recognized. It has been an active researc...
Yudho Giri Sucahyo, Raj P. Gopalan
GECCO
2008
Springer
261views Optimization» more  GECCO 2008»
15 years 8 months ago
SSNNS -: a suite of tools to explore spiking neural networks
We are interested in engineering smart machines that enable backtracking of emergent behaviors. Our SSNNS simulator consists of hand-picked tools to explore spiking neural network...
Heike Sichtig, J. David Schaffer, Craig B. Laramee
COMPSAC
2008
IEEE
15 years 7 months ago
Superfit Combinational Elusive Bug Detection
Software that has been well tested and analyzed may fail unpredictably when a certain combination of conditions occurs. In Bounded Exhaustive Testing (BET) all combinations are te...
R. Barzin, S. Fukushima, William E. Howden, S. Sha...
CORR
2008
Springer
135views Education» more  CORR 2008»
15 years 7 months ago
Probabilistic SVM/GMM Classifier for Speaker-Independent Vowel Recognition in Continues Speech
In this paper, we discuss the issues in automatic recognition of vowels in Persian language. The present work focuses on new statistical method of recognition of vowels as a basic...
Mohammad Nazari, Abolghasem Sayadiyan, Seyyed Maji...