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Data Mining and Knowledge Management SpringerLink

May 09, 2015· The process of data mining can be categorized as selecting, transforming, mining, and interpreting data. The ultimate goal of doing data mining is to find knowledge from data to support user’s decision. Therefore, data mining is strongly related with knowledge and knowledge management.

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Data Mining and Knowledge Management SpringerLink

• Risk management: Better knowledge management also requires more advanced techniques for risk management, to identify, control, and minimize the impact of uncertain events, as shown in these papers, using fuzzy set theory and other approaches for better risk management. • Integration of data mining and knowledge management: As indicated

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Applications of data mining in knowledge management IJERT

The basis of data mining is a process of using tools to extract useful knowledge from large datasets; data mining is an essential part of knowledge management. data mining can be useful for KM in two main manners: (i) to share common knowledge of business intelligence (BI) context among data miners and (ii) to use data mining as a tool to

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The Significant Role Of Data Mining In Knowledge Management

Jan 26, 2019· Knowledge Management (KM) is central to this. Data mining. Data mining is basically a process which utilizes intelligent techniques to reveal useful patterns of knowledge in large databases. With applying various algorithms, it can predict useful information out of stored data, further helping to interact between subsets of data. Data mining

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Knowledge management and data mining for marketing

May 01, 2001· Knowledge discovery and learning is an iterative process that extends the collection of data mining techniques into a knowledge management framework .Though data mining techniques are usually applied to the complete database, it is possible to mine a statistically representative sample of the data.

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(PDF) IRJET-Data Mining and Knowledge Management IRJET

The process of Data Mining is a Knowledge data to uncover previously unknown patterns, and Management process because it involves human knowledge ultimately comprehensible information, from large (Brachman et al., 1996). databases (Shaw et al, 2001).

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(PDF) Data mining as a technique for knowledge management

Keywords: Data Mining, Knowledge Management, Bu siness Process Redesign, Business re-engineering, Artificial Neural Net works. 1. Introduction . Knowledge Managers in any organization .

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Knowledge management and data mining for marketing

Current emphasis on customer relationship management makes the marketing function an ideal application area to greatly benefit from the use of data mining tools for decision support. A systematic methodology that uses data mining and knowledge management techniques is proposed to manage the marketing knowledge and support marketing decisions.

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The Combination of Knowledge Management and Data mining

Oct 01, 2009· The aim of this paper is to integrate a framework of knowledge management and data mining with knowledge warehouse. Therefore, first, it will brief review the existing of knowledge management

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Data Mining as Support to Knowledge Management in

Sep 01, 2015· The results of data mining are used in a web-based knowledge management component to trigger ideas for new marketing strategies. The model is tested by an experimental research. Results: The results show that the suggested model could be efficiently used to recognize patterns in shopping behaviour and generate new marketing strategies.

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The Significant Role Of Data Mining In Knowledge Management

Jan 26, 2019· Knowledge Management (KM) is central to this. Data mining. Data mining is basically a process which utilizes intelligent techniques to reveal useful patterns of knowledge in large databases. With applying various algorithms, it can predict useful information out of stored data, further helping to interact between subsets of data. Data mining

More

Knowledge management and data mining for marketing

A systematic methodology that uses data mining and knowledge management techniques is proposed to manage the marketing knowledge and support marketing decisions. This methodology can be the basis for enhancing customer relationship management

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[PDF] A Data Mining based Knowledge Management approach

A successful Knowledge Management strategy is essential for organizations in the modern business world. For this task knowledge oftentimes should be gained out of data amounts, which are not human manageable. Therefore in conjunction with Knowledge Management Data Mining is used by many organizations to transform raw data into knowledge.

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Knowledge management and data mining for marketing

May 01, 2001· Knowledge discovery and learning is an iterative process that extends the collection of data mining techniques into a knowledge management framework .Though data mining techniques are usually applied to the complete database, it is possible to mine a statistically representative sample of the data.

More

Data Mining as Support to Knowledge Management in

Oct 20, 2015· The results of data mining are used in a web-based knowledge management component to trigger ideas for new marketing strategies. The model is tested by an experimental

More

The Combination of Knowledge Management and Data mining

The aim of this paper is to integrate a framework of knowledge management and data mining with knowledge warehouse. Therefore, first, it will brief review the existing of knowledge management

More