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Title: DATA WAREHOUSING AND DATA MINING Question paper
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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 Web Usage Mining Framework for Mining Evolving User Profiles in Dynamic Web Site
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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 Warehouses Decision Support and Data Mining
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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: A survey of usage of Data Mining and Data Warehousing in Academic Institution and Lib
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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: Integration Of Data mining And Data warehousing Systems
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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: DBMSData mining and data warehousing
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Posted By: landerajshree
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Title: data mining and data warehousing for paper presentation
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Title: Data Mining Applications In E-Commerce Full Download Seminar Report and Paper Present
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Posted By: computer science crazy
Created at: Tuesday 07th of April 2009 11:37:23 PM
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Data Mining Applications In E-Commerce

Abstract :

E-commerce domain can provide all the right ingredients for successful data mining and claim that it is a killer domain for data mining. With the proliferation of the electronic commerce e-purchasing has become a daily practice for many purchasing organizations. Data mining has been used in e-commerce for some time already. It has many applications in this field such as: searching for patterns in transactional data, preparation of personalization applications, etc. . However, before t ....etc

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Title: Data Mining On Multimedia Data
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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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