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Application Domain for Data Mining

Using Data Mining with Time Series Data in Short Term Stocks Prediction: A Literature Review

Using Data Mining with Time Series Data in Short Term Stocks Prediction: A Literature Review

... The OECD Glossary of statistical terms [8] presents the following definition: “A time series is a set of regular time-ordered observations of a quantitative characteristic of an individual or collective phenomenon taken ...

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ANALYSIS OF DATA MINING APPLICATION IN EDUCATION DOMAIN

ANALYSIS OF DATA MINING APPLICATION IN EDUCATION DOMAIN

... as data warehouses can serve the requirement of extraction of information from more than one subject ...area. Data warehouses standardize the data across the organization so as to have a single view ...

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Application of data mining in medical domain: case of cardiology sickness level

Application of data mining in medical domain: case of cardiology sickness level

... Data mining is currently implemented in many clinical environments where relationships and patterns provide new medical ...of data. ‘The typical data mining processes involves ...

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Survey on data mining methods and applications in healthcare domain sector

Survey on data mining methods and applications in healthcare domain sector

... different data mining application in the healthcare sector for extracting useful ...using Data Mining applications is a challenging task but it drastically reduces the human effort and ...

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Data Mining Patterns New Methods And Applications Pascal Poncelet (2008) pdf

Data Mining Patterns New Methods And Applications Pascal Poncelet (2008) pdf

... on data represented as fixed-length vectors, that is, according to the single-table ...the data to be mined are represented in a single table (or rela- tion) of a relational database, such that each row (or ...

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Data Mining, an Approach for Developing the Health Domain

Data Mining, an Approach for Developing the Health Domain

... the application and us- age cases, has provided a definition of data ...used data mining in different names such as data fishing, data dredging and data ...Despite ...

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Application of data mining techniques for outlier mining in medical databases

Application of data mining techniques for outlier mining in medical databases

... The data can have outliers due to several reasons such as abnormal patient condition or instrumentation errors or recording ...this domain and requires high degree of accuracy. The data typically ...

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Application of decision tree as a data mining tool to predict BP systolic diastolic

Application of decision tree as a data mining tool to predict BP systolic diastolic

... management, data mining applications can be developed to better identify and track chronic disease states and high-risk patients, design appropriate interventions, and reduce the number of hospital ...

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Mining Data Using Various Sequential Patterns Mining Algorithm in Semantic Web Environment

Mining Data Using Various Sequential Patterns Mining Algorithm in Semantic Web Environment

... of data and knowledge the latter in the form of rich conceptual schemas called ...ontologies. Data Mining is the nontrivial process of identifying valid, previously unknown, potentially useful ...

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A Review on Emerging Trends of Web Mining and It?s Applications.

A Review on Emerging Trends of Web Mining and It?s Applications.

... text data, automatic extraction of implicit previously unknown and potentially useful information becomes more necessary to properly utilize this vast source of ...Text mining, therefore, corresponds to ...

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Educational Data Mining And Its Applications

Educational Data Mining And Its Applications

... different data mining techniques to predict student ...of data mining techniques a result evaluation system can be developed which can help teachers and students to know the weak points of the ...

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Association Rule Mining and Frequent Pattern Mining Applications on Crime Pattern Mining: A Comprehensive Survey

Association Rule Mining and Frequent Pattern Mining Applications on Crime Pattern Mining: A Comprehensive Survey

... crimes. Data mining technology to design proactive services to reduce crime incidences in the police stations ...crime data, Different structures used for recording crime ...employs data ...

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Data Mining Know It All Soumen Chakrabarti (2009) pdf

Data Mining Know It All Soumen Chakrabarti (2009) pdf

... historical data. Data can feed into the data warehouse from multiple ...the data from all ...pertinent data needs to be extracted from the feeder database into a staging ...The ...

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Data Mining Foundations And Practice Tsau Young Lin (2008) pdf

Data Mining Foundations And Practice Tsau Young Lin (2008) pdf

... In the paper “Ensembles of Least Squares Classifiers with Randomized Kernels,” the authors, Kari Torkkola and Eugene Tuv, demonstrate that sto- chastic ensembles of simple least square classifiers with randomized kernel ...

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Dunham   Data Mining pdf

Dunham Data Mining pdf

... The single link, complete link, and average link techniques are all hierarchical tech­ niques with O (n2) time and space complexity. While we discussed the agglomerative versions of these are also divisive versions, ...

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Impact of cryogenic cooling during machining: A Literature Review

Impact of cryogenic cooling during machining: A Literature Review

... of data, stockpiling of data, computation and communications make it conceivable to collect, store and process gigantic volumes of ...database. Data mining technology is a helpful device for ...

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Utilizing data mining application techniques to involve a business analytics for retail outlets

Utilizing data mining application techniques to involve a business analytics for retail outlets

... business data, such as sales revenue by products and/or departments, or by associated costs and ...analytics, data, process mining, complex event management, benchmarking, Data mining ...

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Data Mining: A Study on Various Applications and Techniques

Data Mining: A Study on Various Applications and Techniques

... Nearest Neighbor Method: Clustering and the nearest neighbor prediction technique are among the oldest techniques used in data mining. Most people have an intuition that they understand what clustering is ...

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The Process and Application of XML Data Mining

The Process and Application of XML Data Mining

... XML data becomes more abundant, the ability to gain knowledge from XML sources decreases due to their heterogeneity and structural ...advanced data processing techniques are required to retrieve and analyse ...

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Why only data mining? a pilot study on inadequacy and domination of  data mining technology

Why only data mining? a pilot study on inadequacy and domination of data mining technology

... with data mining’ we discover that what will happen and why? (Nakasima ...). Data mining integrates the various technologies like statistics, machine learning and databases(Irshad ...of ...

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