parallel mining of fuzzy association rules
Parallel mining for fuzzy association rules
... involves in mining fuzzy association rules and parallel algorithms for mining fuzzy association rules 16 C h ap ter A ssociation rules 2.1 A s s o c ia tio n rules: M o tivation Association ... mining, association rules, binary association rules, quantitative alien rules, fuzzy association rules, parallel algorithm 9 C h ap ter Introduction to Data m ining 1.1 Data m in in g 1.1.1 Data mining: ... f Data mining syst em s 14 1.3 focu se d issues in Data mining 14 Chapter Association rules 16 2.1 Association rules: Motivation 16 2.2 Association rules mining...
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Parallel execution of constraint handling rules theory, implementation and application
... Bibliography 176 A Proofs 181 A.1 Proof of Correspondence of Derivations 181 A.2 Proof of Correspondence of Termination and Exhaustiveness 192 List of Tables 2.1 A coarse-grained ... PARALLEL EXECUTION OF CONSTRAINT HANDLING RULES - THEORY, IMPLEMENTATION AND APPLICATION LAM SOON LEE EDMUND NATIONAL UNIVERSITY OF SINGAPORE 2011 PARALLEL EXECUTION OF CONSTRAINT HANDLING RULES ... Computer Science I would like to say that it was a journey of epic proportions, of death and destruction, of love and hope, with lots of state -of- the-art C.G work and cinematography which can make...
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IMPROVE EFFICIENCY OF FUZZY ASSOCIATION RULE USING HEDGE ALGEBRA APPROACH
... values to save instead of just one value To improve the efficiency of mining association rules, in this article we propose a new method of mining the fuzzy association rules based on the HA and ... association rules and HA are reviewed in section 2; Mining fuzzy association rules based on HA; compressed database and the mining of fuzzy association rules according to compressed database are described ... is the number of transactions, including X , N is the total of transaction database Mining the association rules of the database is finding all of the rules that have the degree of support and...
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Mining Association Rules between Sets of Items in Large Databases pptx
... generated Summary We introduced the problem of mining association rules between sets of items in a large database of customer transactions Each transaction consists of items purchased by a customer in ... The organization of the rest of the paper is as follows In Section 2, we give a formal statement of the problem In Section 3, we present our algorithm for mining association rules In Section ... I2 Ik , k 2, generate all rules at the most k rules that use items from the set I1 ; I2 ; ; Ik The antecedent of each of these rules will be a subset X of Y such that X has k , items,...
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DSpace at VNU: Efficient strategies for parallel mining class association rules
... complexities of both sequential and proposed parallel CAR mining algorithms We then derive the speedup of the parallel algorithm We also compare the time complexity of our parallel algorithm with those of ... J (1996) Parallel mining of association rules IEEE Transactions on Knowledge and Data Engineering, 8, 962–969 Agrawal, R., & Srikant, R (1994) Fast algorithms for mining association rules in ... section begins with the overview of some sequential versions of CAR mining algorithm and then provides details about two parallel versions of it 2.3 Parallel mining on the multi-core processor...
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Data Mining Association Rules: Advanced Concepts and Algorithms Lecture Notes for Chapter 7 Introduction to Data Mining docx
... Multi-level Association Rules Why should we incorporate concept hierarchy? – Rules at lower levels may not have enough support to appear in any frequent itemsets – Rules at lower levels of the hierarchy ... milk → wheat bread, etc are indicative of association between milk and bread © Tan,Steinbach, Kumar Introduction to Data Mining 22 Multi-level Association Rules How support and confidence vary ... Length of a sequence, |s|, is given by the number of elements of the sequence © Tan,Steinbach, Kumar Introduction to Data Mining A k-sequence is a sequence that contains k events 28 Examples of Sequence...
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MINING ASSOCIATION RULES WITH ADJUSTABLE INTERESTINGNESS
... What is data mining? 1.2 Data mining versus query tools 1.3 Mining association rules 1.4 Outline of the thesis CHAPTER 2: Mining association rules with weighted ... common type is mining association rules The problem of mining association rules in databases was first introduced in 1993 by Agrawal [1] An example of such a rule might be that “90% of customers ... looking for, turn to data mining 1.3 Mining association rules There are various kinds of methods to mine the information from the database, such as mining association rules, multi-level data generalization...
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Tìm hiểu khai phá luật kết hợp mining association rules
... - 27 - v y ta thu Tìm hi u phai phá lu t k t h p Mining Association Rules ¬ Khai thác lu t k t h p song song (parallel mining of association rules) Nhu c u song song hố x lí phân tán c n thi ... lu t k t h p Mining Association Rules // Faster Algorithm forall large-itemsets Lk , k>=2 begin H1={consequents of rules derived from Lk with one item in the consequent}; call ap-genrules(Lk, H1); ... (binary association rules) Lu t k t h p nh phân h ng nghiên c u đ u tiên c a lu t k t h p Theo d ng lu t k t h p items ch đ - 26 - c quan tâm Tìm hi u phai phá lu t k t h p Mining Association Rules...
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DSpace at VNU: Construction of fuzzy if-then rules by clustering and fuzzy decision tree learning.
... ith input Xj will obtain one of the fuzzy sets A1!, A‘mi as his value Analogically, th e output y can obtain one of fuzzy sets Bj, Bm as his value CONSTRUCTION OF THE FUZZY DECISION TREE 111 this ... n o f fuzzy if - t h e n ru les by clustering and 77 CONCLUSION Above we proposed th e method of constructing fuzzy if-then rules from a set of inp ut-output data This method consists of two ... to construct fuzzy if-then rules from th e set D of input-output data We denote: Dj = {X j I Xj is th e ith component of X , (x, y) e D} D’ = {y I (x, y) D} Therefore D, is the set of points in...
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DSpace at VNU: CAR-Miner: An efficient algorithm for mining class-association rules
... values and number of objects Fig Numbers of CARs in the lymph dataset for various minSup values 5.2 Numbers of rules of the experimental datasets Figs 3–7 show the numbers of rules of the datasets ... algorithm for incremental mining of temporal association rules Data and Knowledge Engineering, 69(8), 800–815 Giuffrida, G., Chu, W W., & Hanssens, D M (2000) Mining classification rules from datasets ... datasets had a lot of rules For example, the Lymph dataset had 4,039,186 rules with a Fig Numbers of CARs in the Led7 dataset for various minSup values Table The characteristics of the experimental...
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DSpace at VNU: The lattice-based approaches for mining association rules: a review
... WIREs Data Mining and Knowledge Discovery The lattice-based approaches for mining association rules number of FIs/FCIs/FMIs Therefore, lattice-based approaches (LBAs) for mining ARs are proposed ... child node of root, Ω = {AT, AW, AC} (Figure 6) LBAS FOR MINING ARS Besides ARs, a number of types of ARs were proposed, namely MNARs and MGARs Table shows the list of existing LBAs for mining ARs, ... Lattice-based Approaches (LBAs) for Mining LBA for Mining ARs with Interestingness Measures Association Rules (ARs) No Name of Algorithm Authors (Year) 67 Type of ARs LBA-ARs-2009 Vo and Le LBA-ARs-IM-2011...
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Tài liệu Application of Fuzzy Set Theory in Flexible Manufacturing System Design pptx
... Associated Rules A Hierarchical Structure for Evaluation of Scheduling Rules A Fuzzy Approach to Operation Selection Fuzzy- Based Part Dispatching Rules in FMSs Fuzzy Expert System-Based Rules Selection ... combination of rules is one of the possible combinations of rules If three rules are assumed for each decision point, the number p of possible combinations would be Each combination of rules, namely ... set vs fuzzy set A fuzzy expert system is an expert system that applies reasoning to data via a number of fuzzy membership functions and rules, instead of Boolean logic The rules in a fuzzy expert...
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Tài liệu Design Of Fuzzy Controllers doc
... inclusion of fuzzy rules creates many extra design problems, and although many introductory textbooks explain fuzzy control, there are few general guidelines for setting the parameters of a simple fuzzy ... operation for all rules and not a mixture of connectives Incidentally, a fuzzy rule with an RU combination of terms can be converted into an equivalent DQG combination of terms using laws of logic (DeMorgan’s ... element in the universe of discourse is a member of a fuzzy set to some grade, maybe even zero The grade of membership for all its members describes a fuzzy set, such as 1HJ In fuzzy sets elements...
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Tài liệu Báo cáo khoa học: S100–annexin complexes – biology of conditional association doc
... aggregation in the presence of a mixture of annexins of different subtypes The profile of liposome aggregation was simply the sum of the results obtained with a single subtype of annexin, suggesting ... Ca2+, post-translational modifications of annexin A2 have regulatory effects on the association with S100A10: N-acetylation of annexin A2 is necessary for this association [30,31] and protein kinase ... animal model of Parkinsonism [45] The identification of the targets of the S100A10–annexin A2 complex (see above) led to the suggestion that this complex functions as a guiding molecule of channels...
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Tài liệu Newfunds, better rules - Overview of new financial rules and funding opportunities 2007-2013 pptx
... look at different forms of EU funding • practical examples for selected groups of EU funds beneficiaries Getting started… Depending on the type of funding and the profile of your project, there ... specific groups of people NGOs' size as well as the scope of their activities can vary considerably Some NGOs consist of a rather limited number of persons; others may have thousands of members and ... completed at least the first year of your university studies • The international relations office or the Erasmus office of your university is the first port of call for information on how to...
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Tài liệu Sequential Event Prediction with Association Rules docx
... Both algorithms use a subroutine for mining association rules to generate a set of candidate rules One of the simplest such rule mining algorithms is GenRules, provided as Algorithm 1, which ... made specific by using a rule mining algorithm that retrieves a set of rules tailored to the application GenRules can be replaced by any algorithm for mining association rules; there is a vast literature ... since the field of association rule mining evolved on their development, e.g Apriori (Agrawal et al., 1993) GenRules requires a set A which is the set of allowed left-hand sides of rules 2.1 Max...
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Tài liệu Báo cáo khoa học: "Methods for the Qualitative Evaluation of Lexical Association Measures" doc
... applied: Instead of examining only a small sample of -best candidates for each measure as it is common practice, we make use of recall and precision values for best samples of arbitrary size, ... evaluation of lexical association measures, mainly for the following reasons: the instability of precision values obtained from the first few percent of the data in the SLs; the lack of significant ... To improve the reliability of the evaluation results, a number of properties need to be controlled We distinguish between two classes: (1) Characteristics of the set of candidate data employed...
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Tài liệu Báo cáo khoa học: "Sixth Conference of the European Chapter of the Association for Computational Linguistics" potx
... the Sixth Conference of the European Chapter of the Association for Computational Linguistics, held 19-23 April 1993 in Utrecht The Programme Committee received a large number of submissions (5 ... general quality of the submissions was high Out of a total of 229 submissions, 47 were accepted, including reserve papers Every abstract submitted was reviewed by one member of the Programme ... Abeill6 (University of Paris) Ted Briscoe (University of Cambridge) Ken Church (AT&TBell Laboratories) Aravind Joshi (IRCS, University of Pennsylvania) Ewan Klein (ccs, University of Edinburgh) Andras...
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The Treatment of Uncertainty in EPA’s Analysis of Air Pollution Rules: A Status Report pot
... identifies The NRC report also noted that “Because of the lack of consideration of other sources of uncertainty, the results of the primary analysis often appear more certain than they actually are.” ... Treatment of Uncertainty in EPA’s Analysis of Air Pollution Rules: A Status Report Arthur G Fraas Abstract An understanding of the uncertainty in benefit and cost estimates is a critical part of a ... addition, the selection of experts and the composition of the panel also continue to be an area of concern A number of the experts on the panel, for example, have decades of work invested in epidemiological...
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Báo cáo khoa học: "Feedback Cleaning of Machine Translation Rules Using Automatic Evaluation" pot
... procedure of cross-cleaning is as follows Feature English Japanese # of Sentences 149,882 # of Words 868,087 984,197 # of Sentences 10,145 # of Words 59,533 67,554 # of Sentences 10,150 # of Words ... computer # of Rules Test Corpus BLEU Score Subjective Quality # of Improved Sentences # of Same Quality (Same Results) # of Degraded Sentences Baseline 105,588 0.232 Previous Methods Cutoff by Freq ... 2003 Applications of automatic evaluation methods to measuring a capability of speech translation system In Proceedings of the 10th Conference of the European Chapter of the Association for Computational...
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