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Efficient Frequent Closed Itemset Algorithms With Applications To Stream Mining And Classification
(2010-08-24)
Data mining is an area to find valid, novel, potentially useful, and ultimately understandable abstractions in a data. Frequent itemset mining is one of the important data mining approaches to find those abstractions in ...
Large Scale Implementation Of The Block Lanczos Algorithm
(2010-08-16)
Large sparse matrices arise in many applications, especially in the major problems of Cryptography of factoring integers and computing discrete logarithms. We focus attention on such matrices called sieve matrices generated ...
Design Of Innovative Mechanisms For Contemporary Game Theoretic Problems In Electronic Commerce
(2008-09-09)
Game theory and mechanism design have emerged as an important tool to model, analyze,and solve decentralized design problems involving multiple agents that interact strategically in a rational and intelligent way. Some ...
A Study Of Quantum And Reversible Computing
(2013-07-31)
Integrated Scheduling For Distributed Systems
(2013-07-31)
Efficient Kernel Methods For Large Scale Classification
(2011-02-22)
Classification algorithms have been widely used in many application domains. Most of these domains deal with massive collection of data and hence demand classification algorithms that scale well with the size of the data ...