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[PDF] Top 20 A New Approach to Find Predictor of Software Fault Using Association Rule Mining

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A New Approach to Find Predictor of Software Fault Using Association Rule Mining

A New Approach to Find Predictor of Software Fault Using Association Rule Mining

... conducted association rule mining and statistical analysis to see whether we could classify the Software module into Multinomial ...through association rule mining ... See full document

14

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

... try to converge to a solution: finding all the frequent itemsets as early as ...and find that all the itemsets are frequent since these nodes meet the minimum support ...goes to next level ... See full document

11

Efficient Frequent Pattern Tree Construction

Efficient Frequent Pattern Tree Construction

... required to satisfy a user-specified minimum support and a user-specified minimum confidence ...[1][2][3]. Association rules can be extracted using two familiarized algorithms named as Apriori ... See full document

6

Study on the Customer targeting using Association Rule Mining

Study on the Customer targeting using Association Rule Mining

... set of items or objects in transactional databases, relational ...order to make any advertisement, improvement in their ...analysis find customer’s purchasing ...basket to identify the ... See full document

3

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

... violation of software development rules or commonly known as rule mining ...violation of the software development rules can lead to the major technical and legal issues ... See full document

10

Image Mining for Mammogram Classification by Association Rule Using Statistical and GLCM features

Image Mining for Mammogram Classification by Association Rule Using Statistical and GLCM features

... image mining technique deals with the extraction of implicit knowledge and image with data relationship or other patterns not explicitly stored in the ...extension of data mining to ... See full document

10

Software Architecture of a Learning Apprentice System in Medical Billing

Software Architecture of a Learning Apprentice System in Medical Billing

... Each rule is equivalent to a check with some action part associated to ...Each rule has been implemented as ‘where’ clause of a SQL query [14] and ‘select’ portion of the ... See full document

5

The influence of active region information on the prediction of solar flares: an empirical model using data mining

The influence of active region information on the prediction of solar flares: an empirical model using data mining

... recently to analyze temporal sequences and discover sequence patterns (Manila et ...sequence of events, where each event has an associated time of ...consequences of a current problem. The ... See full document

10

Comparative Study of Apriori Algorithm Performance on  Different Datasets

Comparative Study of Apriori Algorithm Performance on Different Datasets

... Data Mining is known as a rich tool for gathering information and apriori algorithm is most widely used approach for association rule ...mining. To harness this power of ... See full document

6

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.

... item to conclusions about the item’s target ...model using inductive reasoning. To classify input data, each leaf of the tree represents a class label and the branches represent conjunctions ... See full document

10

An association rule mining-based framework for understanding lifestyle risk behaviors.

An association rule mining-based framework for understanding lifestyle risk behaviors.

... order to study the association structure of 7 binary health risk behaviors, we would need to analyze a contingency table with 262 7 possible ...number of empty cells; an exhaustive ... See full document

9

Mining Recurrent Pattern Identification on Large Database

Mining Recurrent Pattern Identification on Large Database

... 2. Compacting Data Sets – In this approach first duplicate transactions are being merged and then intersection between item sets is done and deleting unneeded subsets repeatedly[1]. This algorithm is different ... See full document

5

Association Technique based on Classification for Classifying Microcalcification and Mass in Mammogram

Association Technique based on Classification for Classifying Microcalcification and Mass in Mammogram

... images of MIAS data used in the ...consists of the location information of microcalcification, mass, and their ...consists of: preprocessing, a transactional database organization, and ... See full document

8

Finding Association Rules through Efficient  Knowledge Management Technique

Finding Association Rules through Efficient Knowledge Management Technique

... module to efficiently update the association ...algorithm of update we have reused those large 1-item sets from the knowledge base and thus saved the CPU time and one scan of the ...couple ... See full document

4

Secure Association Rule Mining for Distributed Level Hierarchy in Web

Secure Association Rule Mining for Distributed Level Hierarchy in Web

... [r] ... See full document

5

Time-Saving Approach for Optimal Mining of Association Rules

Time-Saving Approach for Optimal Mining of Association Rules

... numbers of data sets are unused and redundant in the databases of companies, universities, ...researchers find new information from data [1] but also has the ability to reveal the ... See full document

7

A New Approach To The Rule-Based Systems Design And Implementation Process

A New Approach To The Rule-Based Systems Design And Implementation Process

... practical rule-based systems (RBS) design and implementation. To solve them XTT, a new visual knowledge representation is ...is to move the design procedure to a more abstract, logical ... See full document

15

Integrating Software Repository Mining: A Decision Support Centered Approach

Integrating Software Repository Mining: A Decision Support Centered Approach

... important to describe some of the elements in Figure ...type of entity manipulated at a particular case ...corresponds to the action being performed over some ...corresponds to the name ... See full document

19

a New Methodology to Find Initial Solution for  Problems

a New Methodology to Find Initial Solution for Problems

... problems of transportation. Appa in 1973 [1] discussed several variations of the transportation ...solution to many of these problems can be found using the simplex method, for example ... See full document

14

J. Aerosp. Technol. Manag.  vol.6 número4

J. Aerosp. Technol. Manag. vol.6 número4

... our approach, CoFI methodology helped to deal with these ...step, to model the system behavior into several simple ...models to the testing methods, automating the test cases generations, ... See full document

15

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