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Title: Data Mining and Data Warehousing
Page Link: Data Mining and Data Warehousing -
Posted By: pushparaju
Created at: Friday 09th of March 2012 07:26:17 AM
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Title: DBMSData mining and data warehousing
Page Link: DBMSData mining and data warehousing -
Posted By: landerajshree
Created at: Friday 28th of May 2010 10:12:05 PM
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Title: Integration Of Data mining And Data warehousing Systems
Page Link: Integration Of Data mining And Data warehousing Systems -
Posted By: computer science topics
Created at: Tuesday 29th of June 2010 12:53:50 AM
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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 t ....etc

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Title: A Web Usage Mining Framework for Mining Evolving User Profiles in Dynamic Web Site
Page Link: A Web Usage Mining Framework for Mining Evolving User Profiles in Dynamic Web Site -
Posted By: project topics
Created at: Monday 02nd of May 2011 01:02:32 PM
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A Web Usage Mining Framework for Mining Evolving User Profiles in Dynamic Web Site-IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. 20, NO. 2,

vb.net

Abstract—I

n this paper, we present a complete framework and findings in mining Web usage patterns from Web log files of a real Web site that has all the challenging aspects of real-life Web usage mining, including evolving user profiles and external data describing an ontology of the Web content. Even though the Web site under study is part of a nonprofit organization th ....etc

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Title: Data mining and bioinformatics
Page Link: Data mining and bioinformatics -
Posted By: seminar class
Created at: Thursday 05th of May 2011 02:51:11 PM
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Machine Learning for Analyzing Genome-Wide ExpressionProfiles and Proteomics Data Sets
Biological research is becoming increasinglydatabase driven, motivated, inpart, by the advent of large-scale functionalgenomics and proteomics experimentssuch as those comprehensivelymeasuring gene expression. These providea wealth of information on each ofthe thousands of proteins encoded by a genome.Consequently, a challenge inbioinformatics is integrating databases toconnect this disparate information as wellas performing large-scale studies to co ....etc

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Title: DATA WAREHOUSING AND DATA MINING Question paper
Page Link: DATA WAREHOUSING AND DATA MINING Question paper -
Posted By: computer girl
Created at: Wednesday 06th of June 2012 06:06:33 PM
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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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Title: A survey of usage of Data Mining and Data Warehousing in Academic Institution and Lib
Page Link: A survey of usage of Data Mining and Data Warehousing in Academic Institution and Lib -
Posted By: seminar class
Created at: Tuesday 22nd of March 2011 06:59:02 PM
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PRESENTED BY:
S.Elangovan,


Abstract:
Libraries have a history of taking advantage of technological innovation. In the last few years these efforts have been used to push the boundaries of digital libraries and electronic publishing. Most recently professional librarians are exploring new tools for information management and analysis. The ARL E-Metrics project is exploring ways of standardizing and collecting Data on the use and value of electronic resources. Libraries are becoming partners in university r ....etc

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Title: Data Warehouses Decision Support and Data Mining
Page Link: Data Warehouses Decision Support and Data Mining -
Posted By: computer science crazy
Created at: Tuesday 23rd of September 2008 04:43:00 AM
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Data Warehouses, Decision Support and Data Mining

A Data Warehouse is a subject-oriented,integrated,time-variant,non-volatile collection of data used in support of management decision making processes.

Subject-Oriented:-
The data warehouse is organized around the key subjects (or high-level entities) of the enterprise.

Major subjects include
a) Customers
b) Patients
c) Students
d) Products
e) Etc.

Data support :-

Stored collection of diverse data
A solution to data integration problem
Single repository of information
Sub ....etc

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Title: Data Types Generalization for Data Mining Algorithm
Page Link: Data Types Generalization for Data Mining Algorithm -
Posted By: seminar class
Created at: Thursday 05th of May 2011 03:10:18 PM
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Abstract
With the increasing of database applications, mining interestinginformation from huge databases becomes of most concern and avariety of mining algorithms have been proposed in recent years.As we know, the data processed in data mining may be obtainedfrom many sources in which different data types may be used.However, no algorithm can be applied to all applications due tothe difficulty for fitting data types of the algorithm, so the selectionof an appropriate mining algorithm is based on not only thegoal of application, but als ....etc

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Title: Data Mining On Multimedia Data
Page Link: Data Mining On Multimedia Data -
Posted By: seminarsonly
Created at: Monday 20th of September 2010 08:19:09 PM
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Data Mining On Multimedia Data

Introduction:

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 analyzes offered by data mining move beyond the analyses of past events provided by retrospective tools typical of dec ....etc

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