[PDF] Top 20 Data Mining Techniques and its Applications : An Approach to Discover Knowledge in Data
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Data Mining Techniques and its Applications : An Approach to Discover Knowledge in Data
... Regression technique can be adapted for predication. Regression analysis can be used to model the relationship between one or more independent variables and dependent variables. In data mining independent ... See full document
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Data Mining Techniques : An MRDM Approach
... Data mining has extracted a great deal of attention in the information industry and in society at large in recent ...of data, imminent need for tuning such data into useful information and ... See full document
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An Overview of Data Mining Techniques and Applications and its Future Scope
... growing data worldwide. This paper discusses the idea of data mining, the process of KDD, different techniques such as clustering, association, classification, prediction and so ...the ... See full document
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Data Mining: Techniques, Tools and Applications
... KDD- Applications Supported by Index- Structures) ELKI is open source data mining software written in ...many data index structures such as the R*-tree that can provide major performance gain ... See full document
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Applications of Operations Research and Data Mining Techniques in the Healthcare Sector
... Data mining though has great importance in the area of medicine and a lot of scope , for now it is just an academic exercise with only a few success stories ...of data mining and researches. ... See full document
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Data Mining Techniques and its Applications in Banking Sector
... is its mixing ...new data becomes ...the data from the last k days and adapt the mixing proportions to maximize the likelihood of past ...this approach requires too much interaction with the ... See full document
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Application of Data Mining and Knowledge Management for Business Improvement: An Exploratory Study
... System applications is also changing the ways in which businesses are ...of data about products and consumers which are being stored in different data ...useful knowledge about products, sales ... See full document
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A Novel Preprocessing Method for Web Usage Mining based on Hierarchical Clustering
... various data mining techniques for discovering patterns, and pattern analysis are discussed by Chitraa et al ...various applications of web usage mining is also ...usage mining ... See full document
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KNOWLEDGE DISCOVERY AND DATA MINING FRAMEWORK AND ITS APPLICATIONS
... of data mining ...categorical data, However, classification trees may not be suitable for problems where the true decision boundaries between classes are described by a 2nd-order ...’universal’ ... See full document
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A Survey on Methods used in Web Usage Mining
... finds knowledge from the discovered pattern Of the interesting patterns by eliminating the irrelevant ...Visualization techniques are used to interpret the ...a knowledge query mechanism on a ... See full document
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International Journal of Computer Science and Mobile Computing
... using data mining. Application of Data mining techniques concerns to develop the methods that discover knowledge from data and used to uncover hidden or unknown ... See full document
5
MOST COMMONLY USED TECHNIQUES IN DATA MINING
... field. Data mining is a tool that exploits to discover patterns from raw data, extraction of useful information ...stored. Data mining is wide area that assimilates ... See full document
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Heart Disease Prediction System Using Multilayer Perceptron
... the data are mined which is required for discovering hidden patterns & effective decision ...Advanced data mining techniques like artificial neural network, naive bayes are used to ... See full document
8
Conceptual Review of clustering techniques in...
... of data in various application domains, the requirements of database systems have ...changed. Techniques to analyze the given information and find so far hidden knowledge are mandatory to draw ... See full document
6
Educational Data Mining And Its Applications
... educational data mining makes it a new growing research area. Educational data mining also referred to as “EDM” is defined as the area of scientific inquiry centered around the development of ... See full document
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Effective of Combined Mining Techniques with Kinship Search in Complex Data
... Abstract—Enterprise data mining applications often involve complex data such as multiple large heterogeneous data sources, users preferences, and business ...one-step mining is ... See full document
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A Proposed Data Mining Technique to Improve Decision Support System in an Uncertain Situation
... of data mining "IDMS" aims to build data mining system to invest in the banking ...clustering techniques for getting the best result for the organization to be able to find the ... See full document
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Applications and Trends in Data Mining
... Data mining is the process of extraction of interesting (nontrivial, implicit, previously unknown and potentially useful) patterns or knowledge from huge amount of ...in data of unusual ... See full document
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To Study the Various Techniques or its Applications in Data Mining
... patterns. Data mining tools sweep through databases and identify previously hidden patterns in one ...sales data to identify seemingly unrelated products that are often purchased ...anomalous ... See full document
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Data Mining: A Knowledge Discovery Approach
... a data warehouse containing a combination of internal data tracking all customer contact coupled with external market data about competitor ...the data as they want to view their business – ... See full document
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