Rule Generation
Identifying Vulnerable User In Linkedin Using Web Description Logic Rule Generation
... they also are causes of concern regarding security and privacy. Social networks are extensively being used by students only in a rather small way toward educational purpose. A very large number of people are using social ...
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Multi level relational mapping algorithm based dependency rule generation for query optimization
... In general the query optimization is performed by splitting the query into number of small query parts and execute them in different order in such a way to reduce the time complexity. However the query parts has ...
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Multidimensional Quantitative Rule Generation Algorithm for Transactional Database
... Data mining is a technology development in the present decade for guiding decision making. One of the main applications of data mining is exploration of Association Rules. The objective of the research is to find out the ...
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Association Rule Generation using Attribute Information Gain and Correlation Analysis for Classification
... and rule learning algorithms in machine learning [16] mainly use heuristic/greedy search to find a subset of regularities ...given rule is interesting, and this judgment, being subjective, may differ from ...
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Rule Generation in Automobile Sector to IdentifyWater Leakage Problem
... Rough set approach provides a tool to generate rule with the use of minimal decision algorithm through which the proper position of water leakage in automobiles can be identified. REFER[r] ...
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DIRECT AND INDIRECT DISCRIMINATION PREVENTION AND RULE GENERATION IN DATA MINING
... While reading regarding new technologies data mining needs privacy for preventing negative trends or crime. While mining the large data or giving cyber security, mining itself creating discrimination. Part while mining ...
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Automatic rule generation based on genetic programming for event correlation
... Evolutionary Computation (EC) [8] is a branch of the Artificial Intelligence paradigm which is based on the species evolution theory. Each iteration of an evolutionary algorithm execution (also known as ...
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Classification Using the Compact Rule Generation
... In CCSA technique (Cascading of Clustering based on Schwarz criteria and Association) the elements within the dataset are divided in to the number of clusters.. The number of cluster[r] ...
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Investigation of a hierarchical context aware architecture for rule based customisation of mobile computing service
... and rule generation methods are ...based rule matching efficiently, and rule generation method determines the key context items and generates the rules ...the rule-based service ...
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Kavosh: an effective Map-Reduce-based association rule mining method
... To implement the Kavosh method, Hadoop 2.7.3 is used. Ubuntu 16.04 is installed on each node. Parts of Hadoop were modified for Kavosh implementation. As described above, there are three layers of nodes in Kavosh: The ...
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Data mining algorithm for manufacturing process control
... the rule generation algorithm controlling spray pro- cess velocity to be above the desired 200 m / ...However, Rule 3 may be more preferable for the control spray process velocity at levels above 200 ...
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An Efficient Approach for Extraction of Actionable Association Rules
... combined rule pairs and combined rule clusters. A combined rule pair is composed of two contrasting rules and combined rule clusters are built from combined association ...combined rule ...
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A Review on PSO and Association Rule Mining for Item Set Generation
... Anshuman singh sadh at.el, [8] found the frequent patterns to know the effective patterns from the huge data. Then they find positive and negative rules. If we observe the above phenomena then we come to the point that ...
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ECC BASED MALICIOUS NODE DETECTION SYSTEM FOR MOBILE ADHOC NETWORK
... best rule deduction “Domain experts are required”. Deduction of rule should contain all important attributes that are sufficient to define all valuable concerns in the ...the rule signifies / ...
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Analysis & Optimization of Association Rule Mining with Multiple Constraints
... association rule mining, the proposed algorithm solves the problem of negative rule generation and also optimized the process of rule ...association rule mining is a great challenge for ...
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THE ROLE OF INFORMATION TECHNOLOGY ON THE GROWTH OF FIRMS: A VALUE ADDED ONSIDERATION
... association rule learning is a popular and well researched method for discovering interesting relations between variables in large ...Association rule plays an important role in data mining and has been ...
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Mango Fruit Quality Prediction using Associative Classification Rules
... Near-infrared (NIR) spectroscopy is a non-destructive technique which can provide the quality measurement for agriculture prod- ucts. In this paper, we propose an approach to utilize the NIR spec- trum for mango fruits ...
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Rule Based Systems for Big Data A Machine Learning Approach (Studies in Big Data) 2015 {PRG} pdf
... fuzzy rule based systems, which is required to assign a weight to each of the connections between ...one rule in this ...single rule term assigned a weight, it is likely to make the rules less ...
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Rule-based Procedural Generation of Item in Role-playing Game
... Item parameters are attributes that are present in both unit and item. It affects the value of the respective attribute upon equipped by the player. These parameters are used for comparison between rule-based ...
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Efficient Algorithm and Framework for Interesting Patterns Generation for optimization of Association rule mining using genetic Algorithm for Social Networking Sites
... Social Networking (SN) plays an important part in real life because people is already connected in any types of social network like facebook, twitter, linkedin, instagram etc. SN gives a platform to people to share their ...
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