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Most approaches to mining association rules implicitly consider the utilities of the itemsets to be equal. We assume that the utilities of itemsets may differ, and identify the high utility itemsets based on information in the transaction database and external information about utilities. Our theoretical analysis of the resulting problem lays the foundation(More)
The rationale behind mining frequent itemsets is that only itemsets with high frequency are of interest to users. However , the practical usefulness of frequent itemsets is limited by the significance of the discovered itemsets. A frequent item-set only reflects the statistical correlation between items, and it does not reflect the semantic significance of(More)
Cyclic adenosine monophosphate (cAMP) has tissue-specific effects on growth, differentiation, and gene expression. We show here that cAMP can activate the transcription factor Elk-1 and induce neuronal differentiation of PC12 cells via its activation of the MAP kinase cascade. These cell type-specific actions of cAMP require the expression of the(More)
In this paper, we propose an efficient rule discovery algorithm, called FD_Mine, for mining functional dependencies from data. By exploiting Armstrong's Axioms for functional dependencies, we identify equivalences among attributes, which can be used to reduce both the size of the dataset and the number of functional dependencies to be checked. We first(More)
A pattern is of utility to a person if its use by that person contributes to reaching a goal. Utility based measures use the utilities of the patterns to reflect the user's goals. In this paper, we first review utility based measures for itemset mining. Then, we present a unified framework for incorporating several utility based measures into the data(More)
The discovery of FDs from databases has recently become a significant research problem. In this paper, we propose a new algorithm, called FD_Mine. FD_Mine takes advantage of the rich theory of FDs to reduce both the size of the dataset and the number of FDs to be checked by using discovered equivalences. We show that the pruning does not lead to loss of(More)
We propose the first join tree (JT) propagation architecture that labels the probability information passed between JT nodes in terms of conditional probability tables (CPTs) rather than potentials. By modeling the task of inference involving evidence, we can generate three work schedules that are more time-efficient for LAZY propagation. Our experimental(More)
Present studies were carried out to decipher seizure-dependent changes in mitochondrial function and ultrastructure in rat hippocampus after status epilepticus (SE) induced by pilocarpine (PILO). Discernible mitochondrial ultrastructural damage was observed in the hippocampus. Enzyme assay revealed cytochrome oxidase (COX) activity significantly increased(More)
The nature of the pseudogap phase of cuprate high-temperature superconductors is a major unsolved problem in condensed matter physics. We studied the commencement of the pseudogap state at temperature T* using three different techniques (angle-resolved photoemission spectroscopy, polar Kerr effect, and time-resolved reflectivity) on the same optimally doped(More)