Parallel Generation of Association Rules – Use Case: Psychometric Evaluation
نویسندگان
چکیده
منابع مشابه
Parallel Mining of Association Rules
We consider the problem of mining association rules on a shared-nothing multiprocessor. We present three algorithms that explore a spectrum of trade-oos between computation, communication, memory usage, synchronization, and the use of problem-speciic information. The best algorithm exhibits near perfect scaleup behavior, yet requires only minimal overhead compared to the current best serial alg...
متن کاملOnline Generation of Association Rules
We have a large database consisting of sales transactions. We investigate the problem of online mining of association rules in this large database. We show how to preprocess the data e ectively in order to make it suitable for repeated online queries. The preprocessing algorithm takes into account the storage space available. We store the preprocessed data in such a way that online processing m...
متن کاملOnline Generation of Profile Association Rules
The results discussed in this paper are relevant to a large database consisting of consumer profile information together with behavioral (transaction) patterns. The focus of this paper is on the problem of onhne mining of profile association rules in this large database. The profile association rule problem is closely related to the quantitative association rule problem. We show how to use mult...
متن کاملParallel Generation of t-ary Trees
A parallel algorithm for generating t-ary tree sequences in reverse B-order is presented. The algorithm generates t-ary trees by 0-1 sequences, and each 0-1 sequences is generated in constant average time O(1). The algorithm is executed on a CREW SM SIMD model, and is adaptive and cost-optimal. Prior to the discussion of the parallel algorithm a new sequential generation with O(1) average time ...
متن کاملdata mining rules and classification methods in insurance: the case of collision insurance
assigning premium to the insurance contract in iran mostly has based on some old rules have been authorized by government, in such a situation predicting premium by analyzing database and it’s characteristics will be definitely such a big mistake. therefore the most beneficial information one can gathered from these data is the amount of loss happens during one contract to predicting insurance ...
15 صفحه اولذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: KnE Engineering
سال: 2018
ISSN: 2518-6841
DOI: 10.18502/keg.v3i9.3654