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» Mining Sequential Patterns
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SIGIR
2002
ACM
15 years 1 months ago
Unsupervised document classification using sequential information maximization
We present a novel sequential clustering algorithm which is motivated by the Information Bottleneck (IB) method. In contrast to the agglomerative IB algorithm, the new sequential ...
Noam Slonim, Nir Friedman, Naftali Tishby
DATE
2000
IEEE
113views Hardware» more  DATE 2000»
15 years 6 months ago
Built-In Generation of Weighted Test Sequences for Synchronous Sequential Circuits
We describe a method for on-chip generation of weighted test sequences for synchronous sequential circuits. For combinational circuits, three weights, 0, 0.5 and 1, are sufficien...
Irith Pomeranz, Sudhakar M. Reddy
117
Voted
CIARP
2007
Springer
15 years 5 months ago
Texture Classification Through Combination of Sequential Colour Texture Classifiers
The sequential approach to colour texture classification relies on colour histogram clustering before extracting texture features from indexed images. The basic idea of such method...
Francesco Bianconi, Antonio Fernández, Elen...
COGSCI
2010
114views more  COGSCI 2010»
15 years 1 months ago
Direct Associations or Internal Transformations? Exploring the Mechanisms Underlying Sequential Learning Behavior
We evaluate two broad classes of cognitive mechanisms that might support the learning of sequential patterns. According to the first, learning is based on the gradual accumulation...
Todd M. Gureckis, Bradley C. Love
HICSS
2005
IEEE
164views Biometrics» more  HICSS 2005»
15 years 7 months ago
An Efficient Technique for Frequent Pattern Mining in Real-Time Business Applications
Association rule mining in real-time is of increasing thrust in many business applications. Applications such as e-commerce, recommender systems, supply-chain management and group...
Rajanish Dass, Ambuj Mahanti