[PDF] Top 20 Database Reverse Engineering based on Association Rule Mining
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Database Reverse Engineering based on Association Rule Mining
... of database reverse engineering have proposed some means of extracting conceptual ...is based on forms including business forms and forms for database interaction in the user ... See full document
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HIDING SENSITIVE ASSOCIATION RULE USING HEURISTIC APPROACH
... Data mining represents a wide range of tools and techniques to extract useful information which can contain sensitive information from a large collection of ...is based on modification of ... See full document
7
Multi-objective Numeric Association Rules Mining via Ant Colony Optimization for Continuous Domains without Specifying Minimum Support and Minimum Confidence
... that association rules give us are something like: “70% of customers who buy A also buy ...of association rules are in discovering customer buying patterns for cross-marketing and attached mailing ... See full document
8
Efficient mining of association rules based on gravitational search algorithm
... discovering association rules are based on Agrawal, Apriori [2], SETM [3], AIS [2], DIC [4] and other ...entire database are considered as the best rules, whereas most of these rules can ... See full document
8
: Brapci ::
... of association rule mining for co- lassifi atio of the dataset s ...The association rules detected from the patent dataset shows clearly the relationships between different fields of ...32 ... See full document
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Association Rule Mining for Both Frequent and Infrequent Items Using Particle Swarm Optimization Algorithm
... mine association rules most researchers focused on ameliorating computational ...for association rule mining task, researchers proposed a new approach which is based on ... See full document
11
Mining Recurrent Pattern Identification on Large Database
... Multilevel association rule mining algorithm based on Boolean matrix and the Frequent Pattern Growth Algorithm for the study and ... See full document
5
Frame work for association rule mining with updated fp-growth and modified cofi approaches
... for mining frequent ...is based on existing data structures FP-tree and COFI-tree and initiates the process by first identifying maximal patterns using a novel lattice traversal ...the ... See full document
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An Intelligent Association Rule Mining Model for Multidimensional Data Representation and Modeling
... traditional association rule mining algorithms to recognize frequent events in form of itemsets were widely-used example of association rule mining is Market Basket Analysis ... See full document
8
Dissimilar Rule Mining and Ranking Technique for Associative Classification
... ssociation rule mining is to find the relations among data items from large ...for association rule mining. This algorithm was developed based on AIS algorithm and focused ... See full document
6
Study on the Customer targeting using Association Rule Mining
... Data mining techniques can be implemented rapidly on existing software and hardware platforms to improve the value of existing information resources, and can be integrated with new products and ...data ... See full document
3
A SURVEY ON PRIVACY PRESERVING ASSOCIATION RULE MINING
... source database, R be a set of significant association rules that can be mined from D, and let Rh be a set of rules in ...preserving association rule algorithms transform database D ... See full document
13
Potential mitigation and restoration actions in ecosystems impacted by seabed mining
... Improvident mining activities could easily compromise or shut down fluid flows by clogging the main ...available on the effect of Ocean Drilling Program (IODP) drilling exercises at hydrothermal vents, ... See full document
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DATA MINING IN CUSTOMER RELATIONSHIP MANAGEMENT
... Considerăm că firmele de pe piaţa românească, mai ales cele autohtone, trebuie să se adapteze rapid tendinţei globale de focalizare a strategiilor de afaceri pe managementul rela ţiilor cu clienţii, bazat pe utilizarea ... See full document
7
Web Page Recommendation Using Web Mining
... Some studies have shown that semantic- enhanced approaches are effective to overcome the new-page problem [2, 3] and have therefore become far more popular. The use of domain knowledge can provide tremendous advantages ... See full document
6
Application of Data Mining in Protein Sequence Classification
... applied on the value of features. This algorithm provides a rank on the value of the features using the feature ranking algorithm and according to the rank features is arranged in descending ... See full document
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Decision support methods for finding phenotype--disorder associations in the bone dysplasia domain.
... Applied on the Dataset Decision trees is a classification technique that maps observa- tions about an item to conclusions about the item’s target ...value. Based on the training data, the decision ... See full document
10
A Threshold Free Implication Rule Mining
... by association mining algorithm mainly due to the problem of large search space and the explosion of total number of association rules reported ...infrequent association such as that of ... See full document
6
Image Mining for Mammogram Classification by Association Rule Using Statistical and GLCM features
... Histogram equalization is a method in image processing of contrast adjustment using the image's histogram [17]. Through this adjustment, the intensities can be better distributed on the histogram. This allows for ... See full document
10
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 could classify ... See full document
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