[PDF] Top 20 Kavosh: an effective Map-Reduce-based association rule mining method
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Kavosh: an effective Map-Reduce-based association rule mining method
... data mining methods require a paradigm shift to solve problems because the old methods cannot manage massive ...data. Association rule mining is a data mining algo- rithm used to solve ... See full document
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Overview of Association Rule Based on Pattern Mining
... Pattern mining is more in demand because it helps to reduce cost and increases the revenues ...pattern mining are customer retention, market analysis, and production control and fraud ...Pattern ... See full document
6
Stock Price Index Movement Prediction Using Adaptive Firefly Algorithm Based Association Rule Mining
... Evaluation based Mining [7] was developed to forecast the prediction of stocks and its ...data mining methods for prediction from the features. Filter based clustering method was ... See full document
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EFFECTIVE SECURE MINING OF ASSOCIATION RULE WITH SUBGROUP DISCOVERY IN HORIZONTALLY DISTRIBUTED DATABASES
... is based on the Fast Distributed Mining (FDM) Algorithm which is an unsecured distributed version of the Apriori algorithm ...for Mining Association Rules: Fast Distributed Mining of ... See full document
7
On efficient and effective association rule mining from XML data
... for mining ARs from XML documents efficiently and ...AR mining. Concepts that are relevant to the AR mining task are generalized to produce generalized meta- ...AR mining algorithm is also ... See full document
10
Review of Web Recommendation System and Its Techniques: Future Road Map
... FP Association mining algorithm is not the order of ...incremental mining. Symmetrical association rule mining method is a comprehensive educational web log ...Symmetrical ... See full document
5
An Optimization of Association Rule Mining using K Map and Genetic Algorithm for Large Database
... novel method for optimization of association rule ...of rule is ...generated rule is optimized with genetic ...to reduce the searched ... See full document
6
Ensemble of Classifiers Based on Association Rule Mining
... Statistical Reasons: Combining the outputs of several classifiers by averaging may reduce the risk of an unfortunate selection of a poorly performing classifier. The averaging may or may not beat the performance ... See full document
5
An Efficient Algorithm for Mining Coherent Association Rules
... data mining which is often used to discover association rules from large datasets [10, 11, 12, 13, 14, and ...of mining process [16] and apply to different domains many different methods are proposed ... See full document
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An Enhanced Mammogram Image Classification Using Fuzzy Association Rule Mining
... most effective image modality for breast cancer screening. Mining informations are from large database to be recognized as key topic in database ...features based class ... See full document
7
Fuzzy Classification Based On Fuzzy Association Rule Mining
... heuristically based on association rules [Liu ...class association rules of the form “condset y”, where condset is a set of items and y is a class ...This method contains two main ...class ... See full document
129
Unobtrusive Mattress-Based Identification of Hypertension by Integrating Classification and Association Rule Mining
... an effective clinical metric to reflect the function of autonomic nerve system (sympathetic nerve and parasympathetic nerve are collectively called the autonomic nerve system) ...mainstream method in the ... See full document
25
Effective Association rule mining using Fuzzy Apriori and Weighted Fuzzy Apriori
... effectively mining frequent Item sets and association rules (ARs) based on fuzzy Apriori and weighted fuzzy ...weighted association rule mining where each item is assigned a ... See full document
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THE COMPARATIVE ANALYSIS OF ROAD ACCIDENT DATA USING DATA MINING TECHNIQUES Dr. B.G.Geetha 1, Abinaya.N2 , Abirami Sivasakthi.M 3 Aishwarya.T 4
... study, association rule mining algorithms are well established and effective in general ...of mining. It is clearly inefficient that the whole mining process has to be restarted ... See full document
7
Map Reduce: Fast Parallel Association Rule For Big Data
... The mining process includes a large-scale item set mining and weighted item set mining which include Frequent item set and association rule mining are broadly trial data ... See full document
5
LC an effective classification based association rule mining algorithm
... pruning method has been introduced in (Wen-Chen et ...Class association rules of the form I , where I is the set of items and c is the class that can be either positive or negative; these CARs are then ... See full document
181
Association Rule Mining: A Survey
... makes association rule mining practical is the minsup ...problem[20]. Association rule mining has been very successful in various fields like commercial, social and human ...The ... See full document
5
Rules Discovery of High Ozone in Klang Areas using Data Mining Approach
... a method used to convert continuous values into discrete ...conventional method, a clustering technique can be used as discretization ...powerful method compared to the conventional ... See full document
7
An Overview of Classification Rule and Association Rule Mining
... This rule is used to arrange a data item into predefined classes. For example we can use this rule to differentiate autos into different categories (KUV, Sedan, and SUV). Same principles can be applied to ... See full document
6
Review on Emerging Pattern Analysis using Gene Sequences
... A typical DNA microarray experiments gives the expression profiles of a few several examples (say Ns % 100), more than a few thousand (Ng) genes. These results are plot in a Ng×Ns articulation table; every section ... See full document
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