Auzius Kazombo Mwale Department of Accounting & Finance Testing the inefficient management hypothesis: Are United Kingdom mergers and acquisitions disciplinary? This thesis is provided in fulfilment of the requirements of the degree of Doctor of Philosophy at The University of Stirling May 2007 ACKNOWLEDGEMENTS I would like to thank various people to whom I am indebted for assisting me in producing this thesis. I am greatly indebted to Professor Robin Limmack for assisting me with the groundwork
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Data warehousing and current trends Submitted to: Mr. S. Ramanathan TABLE OF CONTENTS 1. Executive Summary 2. Data warehousing basics‚ difference from database and its business implication 3. Data mining‚ businesses using it and how 4. ETL technology‚ businesses using it and how 5. Tools used 6. Data mart and difference in business implication 7. References EXECUTIVE SUMMARY This study takes an insight into the usage of data warehousing and data mining
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Benefits of Fleet Management Data Integration NAME DBM 502 University of Phoenix Benefits of Fleet Management Data Integration Abstract Huffman Trucking maintains extensive vehicle fleet maintenance logs‚ with data on vehicles‚ parts‚ tires‚ maintenance‚ warranty‚ costs and dates of service. Management wants to know whether it would be strategically advisable to integrate this information into their current data warehouse and how to leverage it. Investigation shows that there could be significant
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A Paper on Data preprocessing and Measures of Similarities and Dissimilarities and Data Mining Applications DEEPAK KUMAR D R M.SC IN COMPUTER SCIENCE 3RD SEMESTER‚ DAVANGERE UNIVERSITY deepakrdevang@gmail.com Abstract: This topic is mainly used by a number of data mining techniques‚ such as clustering‚ nearest neighbor classification‚ and anomaly detection. And it can also include the data mining applications.In this paper we have focused a variety of techniques‚ approaches and different areas
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* Stands for "Database Management System." In short‚ a DBMS is a database program. Technically speaking‚ it is a software system that uses a standard method of cataloging‚ retrieving‚ and running queries on data. The DBMS manages incoming data‚ organizes it‚ and provides ways for the data to be modified or extracted by users or other programs. Some DBMS examples include MySQL‚ PostgreSQL‚ Microsoft Access‚ SQL Server‚ FileMaker‚ Oracle‚ RDBMS‚ dBASE‚ Clipper‚ and FoxPro. Since there are
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Data Mining: Introduction Lecture Notes for Chapter 1 Introduction to Data Mining by Tan‚ Steinbach‚ Kumar © Tan‚Steinbach‚ Kumar Introduction to Data Mining 4/18/2004 1 Why Mine Data? Commercial Viewpoint O Lots of data is being collected and warehoused – Web data‚ e-commerce – purchases at department/ grocery stores – Bank/Credit Card transactions O Computers have become cheaper and more powerful O Competitive Pressure is Strong – Provide better‚ customized services for an edge (e.g
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structured data‚ accept queries from users‚ and respond to those queries. A typical DBMS has the following features (Stair and Reynolds‚ 2004): Provides a way to structure data as records‚ tables‚ or objects Accepts data input from operators and stores that data for later retrieval Provides query languages for searching‚ sorting‚ reporting‚ and other "decision support" activities that help users correlate and make sense of collected data Provides multi-user access to data‚ along with
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supply chain management are major challenges because many foods have relatively short shelf life than other products. This article give me an example of how Coca Cola Japan Group‚ which is using advanced data warehousing techniques provided by Teradata ‚ a hardware and software vendor specializing in data warehousing and analytic applications to improve the vending business. The article has three parts: The first part introduced Coca Cola Japan Group’s vending market faces new and increasing competition
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to create and operate data warehouses such as those described in the case? Do you see any disadvantages? Is there any reason that all companies shouldn’t use data warehousing technology? Information is the most important tool when making business decisions. As O’Brien and Marakas stated‚ “Today’s business enterprises cannot survive or succeed without quality data about their internal operations and external environment.” Companies that have large amounts of available data can use the information
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file processing system are: * Both systems contain a collection of data and a set of programs which access that data. A DBMS coordinates both the physical and the logical access to the data‚ whereas a file-processing system coordinates only the physical access. * A DBMS reduces the amount of data duplication by ensuring that a physical piece of data is available to all programs authorized to have access to it‚ whereas data written by one program in a file-processing system may not be readable
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