To get full information or details of optical fibre communication please have a look on the pages

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To get full information or details of computer science data mining please have a look on the pages

http://seminarsprojects.net/Thread-data-mining-in-a-library

http://seminarsprojects.net/Thread-data-mining-full-report

http://seminarsprojects.net/Thread-data-mining-on-multimedia-data?pid=23858

if you again feel trouble on computer science data mining please reply in that page and ask specific fields in computer science data mining ....etc

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Data Mining and Data Warehousing

SPEC KITS
Supporting Effective Library Management for Over Thirty Years Committed to assisting research and academic libraries in the continuous improvement of management systems, OLMS has worked since 1970 to gather and disseminate the best practices for library needs. As part of its committment, OLMS maintains an active publications program best known for its SPEC Kits. Through the OLMS Collaborative Research/Writing Program, librarians work with ARL staff to design SPEC surveys and w ....etc

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The M.Tech programme in Computer Science and Engineering imparts a breadth of advanced knowledge in various areas of computer science. The programme is designed such that a student can complete it based on advanced coursework alone. However, the students are given the option to concentrate on a problem by substituting some of the courses with equivalent project work.

The first semester of the M.Tech. programme is aimed at providing the necessary breadth in Computer Science and at integrating the students with the instructional philosophy of II ....etc

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DATA WAREHOUSING AND DATA MINING Question paper



1. (a) Explain data mining as a step in the process of knowledge discovery.
(b) Differentiate operational database systems and data warehousing.

2. Explain various data reduction techniques
.
3. Write the syntax for the following data mining primitives:
(a) The kind of knowledge to be mined.
(b) Measures of pattern interestingness.

4. (a) What is Concept description? Explain.
(b) What are the differences between concept description in large data bases and ....etc

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to get information about the topic data warehousing and data mining notes lecture related topic refer the page link bellow

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to get information about the topic data warehousing and data mining full report ppt and related topic refer the page link bellow

http://seminarsprojects.net/Thread-data-warehousing-and-data-mining-question-paper

http://seminarsprojects.net/Thread-integration-of-data-mining-and-data-warehousing-systems

http://seminarsprojects.net/Thread-data-mining-and-warehouse--24487

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Integration Of Data mining And Data warehousing Systems
Presented By:
- N.Nagaraju
3/3 M.C.A I Semester
Introduction:
Traditionally, organizations use data tactically - to manage operations. For a competitive edge, strong organizations use data strategically to expand the business, to improve profitability, to reduce costs, and to market more effectively. Data mining creates information assets that an organization can leverage to achieve these strategic objectives. Data Mining is the process of extrac ....etc

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to get information about the topic Data Mining and Data Warehousing full report ppt and related topic refer the page link bellow

http://seminarsprojects.net/Thread-dbms-data-mining-and-data-warehousing

http://seminarsprojects.net/Thread-integration-of-data-mining-and-data-warehousing-systems

http://seminarsprojects.net/Thread-a-survey-of-usage-of-data-mining-and-data-warehousing-in-academic-institution-and-lib ....etc

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In a previous post, I wrote about the top 10 data mining algorithms, a paper that was published in Knowledge and Information Systems. The selective process is the same as the one that has been used to identify the most important (according to answers of the survey) data mining problems. The paper by Yang and Wu has been published (in 2006) in the International Journal of Information Technology & Decision Making. The paper contains the following problems (in no specific order):
Developing a unifying theory of data mining
Scaling up for high ....etc

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