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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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,

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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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Seminar Report On ASSOCIATION MINING
Submitted by: BENCY CLEETUS
DEPARTMENT OF COMPUTER SCIENCE
COCHIN UNIVERSITY OF SCIENCE AND TECHNOLOGY
KOCHI-682022
ABSTRACT
Association rules are one of the most researched areas of data mining and have recently received much attention from the database community. They have proven to be quite useful in the marketing and retail communities as well as other more diverse fields. Association mining ta ....etc

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Clustering and Sequential Pattern Mining of Online Collaborative Learning Data



Abstract:
Group work is widespread in education. The growing use of online tools supporting group work generates huge amounts of data. We aim to exploit this data to support mirroring: presenting useful high-level views of information about the group, together with desired patterns characterizing the behavior of strong groups. The goal is to enable the groups and their facilitators to see relevan ....etc

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online pilgrim registration application system for pilgrims registering online ....etc

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Advances in data gathering, storage and distribution have created need for computational tools and techniques to aid in data analysis, data mining and knowledge discovery data base. It is a rapidly growing area of research and application that builds on techniques and theories from many fields including statistics, databases, pattern recognition and learning, data visualization, etc. The topic is based on data mining, which is the process of extraction of unknown and potentially useful information from data in databases. Various tools and algor ....etc

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The purpose of Web mining is to develop methods and systems for discovering models of objects and processes on the World Wide Web and for web-based systems that show adaptive performance. Web Mining integrates three parent areas: Data Mining (we use this term here also for the closely related areas of Machine Learning and Knowledge Discovery), Internet technology and World Wide Web, and for the more recent SemanticWeb.

The World Wide Web has made an enormous amount of information electronically accessible. The use of email, news and markup ....etc

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Nowadays, digital information is relatively easy to capture and fairly inexpensive to store. The digital revolution has seen collections of data grow in size, and the complexity of the data therein increase. Question commonly arising as a result of this state of affairs is, having gathered such quantities of data, what do we actually do with it? It is often the case that large collections of data, however well structured, conceal implicit patterns of information that cannot be readily detected by conventional analysis techniques. Such informat ....etc

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DESCRIPTION:
A data stream is a massive, open-ended sequence of data elements continuously generated at a rapid rate. Mining data streams is more difficult than mining static databases because the huge, high-speed and continuous characteristics of streaming data. In this paper, we propose a new one-pass algorithm called DSM-MFI (stands for Data Stream Mining for Maximal Frequent Itemsets), which mines the set of all maximal frequent itemsets in landmark windows over data streams.
The proposed algorithm DSM-MFI ....etc

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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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