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A Threshold Free Implication Rule Mining

A Threshold Free Implication Rule Mining

... association mining algorithm mainly due to the problem of large search space and the explosion of total number of association rules reported ...confidence threshold. Mining below a minimum support ... See full document

6

Frame work for association rule mining with updated fp-growth and modified cofi approaches

Frame work for association rule mining with updated fp-growth and modified cofi approaches

... association rule is an implication of the form “X =>Y” where XI, YI, and X  ...itemset mining, like inductive databases, query expansion, document clustering ...association mining ... See full document

11

Association Rule Mining for Both Frequent and Infrequent Items Using Particle Swarm Optimization Algorithm

Association Rule Mining for Both Frequent and Infrequent Items Using Particle Swarm Optimization Algorithm

... the threshold values of support and confidence which are the key factors for association rule mining task, researchers proposed a new approach which is based on particle swarm optimization ... See full document

11

Mining Recurrent Pattern Identification on Large Database

Mining Recurrent Pattern Identification on Large Database

... In paper[11] the testing results of experiments have been shown in the figure. In that Figure, the horizontal axis represents the number of support in database and the vertical axis represents mining time. The ... See full document

5

investigation of source code mining using novel code mining parameter matrix: recent state of art

investigation of source code mining using novel code mining parameter matrix: recent state of art

... Mr.K Venkata Ramana was born in Guntur, Andhra Pradesh, in 1978. He received the M.Tech. degree in Computer Science & Engineering from JNT University, Hyderabad in 2010. He is currently pursuing Ph.D. degree in ... See full document

10

Decision support methods for finding phenotype--disorder associations in the bone dysplasia domain.

Decision support methods for finding phenotype--disorder associations in the bone dysplasia domain.

... Dempster’s rule of ...Dempster’s rule of combination to facilitate uncertainty manage- ment, without calculating belief and plausibility values as per ...Dempster’s rule of combination, in order to ... See full document

10

A pragmatic approach on association rule mining and its effective utilization in large databases

A pragmatic approach on association rule mining and its effective utilization in large databases

... To have a thorough understanding about association rule mining,, here we have taken market basket data analysis as an illustration. A market basket database stores different food items such as bread, ... See full document

10

Pure strategy equilibria of multidimensional and non-monotonic auctions

Pure strategy equilibria of multidimensional and non-monotonic auctions

... tie-breaking rule (endogenously defined) that guarantees the existence of mixed strategy equilibrium (see Jackson, Simon, Swinkels and Zame (2002), henceforth ... See full document

49

Finding Association Rules through Efficient  Knowledge Management Technique

Finding Association Rules through Efficient Knowledge Management Technique

... We have presented ARU algorithm, which outperforms the TBAR algorithm. Our proposed algorithm will be able to maintain large items sets by reusing the large item sets found through the initial mining algorithm. ... See full document

4

Comparative Study of Apriori Algorithm Performance on  Different Datasets

Comparative Study of Apriori Algorithm Performance on Different Datasets

... Organizations. Mining is that fundamental component acting upon a Data Warehouse that helps a lay user extract vital information from the huge chunk of data which holds relevance to the kind of information one is ... See full document

6

What is a Fuzzy Bi-implication?

What is a Fuzzy Bi-implication?

... In order to make this document self-contained, we first present all the necessary theory as a background. Then we study several definitions that extended the classic bi-implication in to the domain of well ... See full document

54

Deep-sea misconceptions cause underestimation of seabed-mining impacts

Deep-sea misconceptions cause underestimation of seabed-mining impacts

... fide mining is expected to target ‘extinct’ vents due to the extremely corrosive nature of hot venting fluids, but active vents are not yet protected and extinct vents also have characteristic, albeit poorly ... See full document

5

Taylor rule in Brazil

Taylor rule in Brazil

... Taylor Rule to characterize empirically the Brazilian monetary policy before and after its major and succesful stabilization plan, Real Plan, launched in ...Taylor Rule in which monetary instability is ... See full document

23

Taylor rule in Brazil

Taylor rule in Brazil

... Taylor Rule to characterize empirically the Brazilian monetary policy before and after its major and succesful stabilization plan, Real Plan, launched in ...Taylor Rule in which monetary instability is ... See full document

23

Braz. J. Phys.  vol.29 número4

Braz. J. Phys. vol.29 número4

... to 36.5 V. The insets show the stationary current den- sity distribution at di erent operating points for a sam- ple with two concentric contacts with diameters 1 mm and 2.1 mm. As the current increases, the current den- ... See full document

12

ANALYSIS OF BRAZILIAN AND FOREIGN MINING LEGISLATION

ANALYSIS OF BRAZILIAN AND FOREIGN MINING LEGISLATION

... for mining activities is Ministério de Minería (Ministry of Mining), created in 1953, and the current mining legislation is the Mining Code, which was approved by Ley-18248/1983, and regulated ... See full document

12

Optimal monetary policy under administered prices

Optimal monetary policy under administered prices

... This work aims to analyze the interaction and the effects of administered prices in the economy, through a DSGE model and the derivation of optimal monetary policies. The model used is a standard New Keynesian DSGE model ... See full document

117

DATA MINING IN CUSTOMER RELATIONSHIP MANAGEMENT

DATA MINING IN CUSTOMER RELATIONSHIP MANAGEMENT

... We believe that companies on the Romanian market, especially domestic ones, must adapt quickly to the global trend to focus on business strategies, customer relationship management, based on data mining techniques ... See full document

7

Web Page Recommendation Using Web Mining

Web Page Recommendation Using Web Mining

... On the other hand, by mapping Web-pages to domain concepts in a particular semantic model, the recommender system can reason what Web-pages are about, and then make more accurate Web-page recommendations [7, 8]. ... See full document

6

MINERAÇÃO DE OPINIÕES DE USUÁRIOS NA BUSCA DE CONHECIMENTO

MINERAÇÃO DE OPINIÕES DE USUÁRIOS NA BUSCA DE CONHECIMENTO

... b) Mineração de logs: Entende-se por mineração de logs ou em inglês web usage mining, o estudo do comportamento dos usuários com relação ao acesso de um determinado site. O servidor que armazena o site em questão ... See full document

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