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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The main objective of this project is to warehouse the events happening in the campus and update the details of the students, staff and campus so that the data miner can retrieve the patterns from the warehouse and knows about the details of the campus events, student and staff status. ....etc

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SHOPPING PATH ANALYSIS AND TRANSACTION MINING BASED ON RFID TECHNOLOGY.

ABSTRACT : The active RFID technology is gaining strong support from business for various applications such as supply chain management, access control, air line luggage management, etc Due to the cost consideration, it is still not a replacement for the traditional item-level Bar-code. Therefore, tracking and analyzing the shopping path and purchasing behaviors of customers in a superstore such as Wl Maart is still a challenging task.
In this project, a practical attemp ....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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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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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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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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Voice mining involves speaker detection in a set of multi-speaker files. In published work, training data is used for constructing target speaker models. In this study, a new voice mining scenario was considered, where there is no demarcation between training and testing data and prior target speaker models are absent. Given a database of telephone conversations, the task is to identify conversations having one or more speakers in common. Various approaches including semi-automatic and fully automatic techniques were explored and different sco ....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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