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Title: vtu 7th sem ise data mining question papers
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Posted By: madhurika
Created at: Thursday 05th of October 2017 04:56:35 AM
want 7th sem ise dataminig question papers of previous years.. ....etc

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Title: data mining and data warehousing for paper presentation
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Posted By: Sairam
Created at: Thursday 05th of October 2017 04:29:19 AM
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Title: be 7th sem data mining question papers
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Posted By: jaison
Created at: Thursday 17th of August 2017 05:58:46 AM
7th sem Data mining previous year question papers
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Title: data warehousing and data mining pdf m tech
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Posted By: vijay
Created at: Thursday 17th of August 2017 06:14:50 AM
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Title: DBMSData mining and data warehousing
Page Link: DBMSData mining and data warehousing -
Posted By: ekha
Created at: Thursday 05th of October 2017 04:26:58 AM


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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Title: Integration Of Data mining And Data warehousing Systems
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Posted By: samsung
Created at: Thursday 17th of August 2017 07:56:28 AM


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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Title: REAL TIME PERSONALIZED COMMERCIAL SERVICES USING DATA WAREHOUSING AND RFID TECHNOLOG
Page Link: REAL TIME PERSONALIZED COMMERCIAL SERVICES USING DATA WAREHOUSING AND RFID TECHNOLOG -
Posted By: ganeshprasad1410
Created at: Thursday 05th of October 2017 05:07:56 AM
REAL TIME PERSONALIZED COMMERCIAL SERVICES USING DATA WAREHOUSING AND RFID TECHNOLOGY.

ABSTRACT: In this work, we present a system architecture based on a data warehouse coupled with Data Mining functionality, which, by mean of the RFID technology, is capable of sending personalized offers to customers in the area of interest in real-time. The offer personalization process is performed by mean of a clustering technique based on a fuzzy extension of the SQL language. ....etc

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Title: data warehousing and data mining notes lecture doc
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Posted By: abhishekash
Created at: Thursday 17th of August 2017 08:44:18 AM
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Title: data mining lab viva question and answers
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Posted By: sumeet.1889
Created at: Thursday 17th of August 2017 06:46:39 AM
data mining lab viva question and answers

Overview

Data mining, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential to help companies focus on the most important information in their data warehouses. Data mining tools predict future trends and behaviors, allowing businesses to make proactive, knowledge-driven decisions. The automated, prospective analyses offered by data mining move beyond the analyses of past events provided by retrospective tools typical of decision support ....etc

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Title: DATA WAREHOUSING AND DATA MINING Question paper
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Posted By: baladari
Created at: Thursday 17th of August 2017 08:34:59 AM
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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