rule-based data mining techniques
An Efficient Clustering Technique For Weblogs
... web mining. It is mainly used to group the users based on their browsing ...Association rule mining is an important class of regularities in ...data. Mining of association rules ...
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Positive and Negative Approach for Association Rule in Data Mining Techniques
... association rule for getting the required ...partitioned based mining association ...weighted mining rule of data sets ...concept based on vectors ...
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ABSTRACT: Association Rule Mining (AM) is one of the most popular data mining techniques. Association rule mining
... for mining association rules are built on binary attributes databases, which has two ...rules based on various ...for data warehouse that overcome the problems observed by various ...
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DATA STREAM USING ENHANCED SLIDING WINDOW BASED ASSOCIATION RMP
... stream based rule mining techniques uses importance to the pattern estimation ...The data arrival is not mainly focused as the key area. Data approximation and sampling ...
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Title: DATA MINING TO ELICIT PREDOMINANT FACTORS CAUSING INFERTILITY IN WOMEN
... time. Data mining and statistical analysis go hand in hand in identifying these factors from a clinical database containing primary data pertaining to significant factors relating to ...
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LAYOUT AN INEXPENSIVE ELLIPTICAL POLARIZED PRODUCTIVE INTEGRATED TRANSCEIVER
... different data mining ...of data mining which include data, data preparation, mining techniques and ...evaluation. Mining techniques are considered ...
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Discovering the Pattern and Key Determinant Factor of Cereal Crop Production: By Using Association Rule Mining
... agriculture data has generated an urgent need for the research of data ...survey data of cereal crop with input mechanisms and techniques to clearly understand the nature of production of ...
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MINING FREQUENT PATTERNS IN DATA STREAM USING ENHANCED SLIDING WINDOW BASED RULE MINING ALGORITHM
... stream based rule mining techniques uses importance to the pattern estimation ...The data arrival is not mainly focused as the key area. Data approximation and sampling ...
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Comparative Analysis of Classification Techniques in Data Mining Using Different Datasets
... Data mining consists of number of techniques which are used to mine appropriate and interesting knowledge from ...data. Data mining has some tasks such as association rule ...
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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
... association rule mining algorithms are well established and effective in general ...big data, related algorithms are not mature and need further ...of mining. It is clearly inefficient that ...
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HEART DISEASE FORECASTING SYSTEM USING K-MEAN CLUSTERING ALGORITHM WITH PSO AND OTHER DATA MINING METHO
... thal. Based on the values of the attributes, we make indexes for all associated frequent ...specified. Data mining techniques like Association Rule Mining, Clustering, ...
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Evaluation and analysis of discovered patterns using pattern classification methods in text mining
... existed data mining techniques like association rule mining, frequent item set mining, sequential pattern mining, maximum pattern mining, and closed pattern ...
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An investigation into the issues of multi-agent data mining
... of data sources scattered over a network and a group of DM agents that allow a user to data mine those data sources without needing to know the location of the supporting data, nor how the ...
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Sentiment Analysis: Algorithmic and Opinion Mining Approach
... opinion mining process. Summary of reviews of the data provided should be based on the features or subtopics that are in the ...Feature based summarization is a type of summarization that ...
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Application of data mining techniques for outlier mining in medical databases
... other data mining tasks (Barnett and Lewis, 1995; Fawcett and Provost, 1997; Hawkins, 1980; and Penny and Jolliffe, ...a data may be due to recording errors or system noise of various kinds, and as ...
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Review of Web Recommendation System and Its Techniques: Future Road Map
... usage mining is playing main role for identifying the web page requirements of end users through the web ...Many techniques applied to the analysis of web log data, but researchers have been ...
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Model to Predict the Behavior of Customers Churn at the Industry
... customers based on their ...existing data is something that is long lasting in some industries such as telecommunications, banking, journalism, film industry, retail industry has taken ...
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A Framework for Dynamic Faculty Support System to Analyze Student Course Data
... student data set to analyze the effect of Class Association Rule mining algorithm (CAR) and various Decision Tree ...in data would produce new ...
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Title: A Novel Review of Various Sentimental Analysis Techniques
... Rule based approach is employed by shaping various rules for obtaining the opinion, created by tokenizing every sentence in each document then testing every token, or word, for its ...of rule ...
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PROCESS OF DATA MINING BY USING OPTIMIZED PARTITION CONCEPT
... of data stored electronically, in the form of raw ...raw data some of data is very important depends on the ...raw data cannot be processed directly. To process these raw data there is ...
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