[PDF] Top 20 Business Intelligence Using Data Mining Techniques on Very Large Datasets
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Business Intelligence Using Data Mining Techniques on Very Large Datasets
... features.Data mining is the extraction of hidden predictive information from large databases and it is a powerful new technology with great potential to help companies focus on the most important ... See full document
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Business Intelligence for Social Networks Using Data Mining Techniques
... discusses business intelligence in advance exploiting an adaptive ...of business strategy once new negotiation model rise in the ...for business intelligence for social ...early ... See full document
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BUSINESS ANALYTICS AND DATA MINING TECHNIQUES USING PREDICTIVE ALGORITHMS TO ENHANCE BUSINESS INTELLIGENCE
... of Data Mining (DM) and Business Analytics (BA) in enhancing Business Intelligence ...BA using predictive ...deployment. Business analytics presents itself as an ... See full document
13
Big Data Mining and Business Intelligence Trends
... capacity data due to different forms of these data’s and fast production ...Big Data structure comes into the scene. The Big Data has been stated as the gold of our age by many ...Today, large ... See full document
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ROLE OF KNOWLEDGE MANAGEMENT TECHNIQUES IN DATA MINING FOR LARGE SCALE DATA IN BANKS
... contexts. Business Intelligence Systems may be used to help to uncover useful information and convert it into a form of knowledge by utilizing Data and Text Mining techniques in ... See full document
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Stock data prediction using predictive data mining techniques
... applying data mining in suitable way hidden patterns can be uncovered which was not possible by traditional ...applying business intelligence, future price prediction with increasing accuracy ... See full document
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Studies of MHD Stability Using Data Mining Technique in Helical Plasmas
... Data mining techniques, which automatically extract useful knowledge from large datasets, are applied to multichannel magnetic probe signals of several helical plasmas in order to ... See full document
7
Data mining approaches in business intelligence: postgraduate data analytic
... in business intelligence (BI) for higher ...multi-dimensional datasets. However, higher education-based business intelligence is complex to build, maintain and it faces the knowledge ... See full document
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Vol 7, No 7 (2017)
... disparate data sources than ever before have raised difficulties in simplifying frequent utility report across multiple transaction systems apart from an integration of large historical ...in data ... See full document
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Comparative Analysis of Various Data Mining Techniques on Educational Datasets
... of data mining is an emerging research area with important applications in Engineering, Science, Medicine, Business and ...of data base in educational application is large where the ... See full document
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An Overview of Data Mining Techniques and Applications and its Future Scope
... Data mining process is extraction of information from large data sets and transforms it into some understandable form for further ...a data mining effort is normally either to ... See full document
9
Research on Business Intelligence with Data Mining Applications
... of data mining is to discover patterns in large databases (big ...those data entries that commonly occur together, for example a part of a plane that malfunctions every time a sequence of ... See full document
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Utilizing data mining application techniques to involve a business analytics for retail outlets
... analyzing business data, such as sales revenue by products and/or departments, or by associated costs and ...of business intelligence technologies are reporting, online analytical processing, ... See full document
9
Dana Wright, Director for Academic Program Development
... big data with particular focuses on mining social media data through machine learning and natural language processing ...big data analytics and business ...include large-scale ... See full document
31
Clustering of huge datasets using Machine Intelligence Techniques
... the data storage, distribution, replication, load balancing, ...different datasets. [17][18]. A large cluster of computers are connected over a network that typically consists of : ... See full document
7
A Framework of Business Intelligence-driven Data Mining for e-business
... Knowledge-driven Data Mining Method-driven DM is a common method on data mining ...mine data. Until now, there have been a large n of studies established on the basics of ... See full document
7
Comparative Analysis of Classification Techniques in Data Mining Using Different Datasets
... for large dataset but other are not and for small dataset performance of algorithms are comparatively ...of data sets, one algorithm is more appropriate for one data set while other algorithm is not ... See full document
10
Data mining for business intelligence with data integration
... source data files. Data federation technique normally employs a metadata reference file to connect related customer information together based on a common ...key. Data federation always pulls ... See full document
5
Heart Disease Prediction System Using Data Mining Techniques
... Data mining has already established as a novel field for exploring hidden patterns in the huge ...where large amount of data is generated using different clinical reports and other ... See full document
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Business Intelligence Techniques and Organizational Performance of Selected Commercial Banks in South Rift Counties in Kenya
... analytical techniques on organization performance in banking ...that data warehouse is a business intelligence technique which is a focal store of data that can be examined so as to ... See full document
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