Topic 1: The Data Mining Process: Data mining is the process of analyzing data from different perceptions and summarizing it into useful evidence that can be used to increase revenue‚ cut costs or both. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles‚ categorize it and summarize the relationships identified. Association‚ Clustering‚ predictions and sequential patterns‚ decision trees and classification
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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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chapter 1 www.hfoobook.com What’s with all the rectangles? NOTE: The “facing page” is not included in this little UML booklet! The four boxes full of text over there on the facing page are our first examples of UML. UML stands for Unified Modeling Language‚ and it’s the most common notation used for creating diagrams that describe object-oriented systems. It’s beyond the scope of this book to teach you everything there is to know about UML. However‚ we’ll be sprinkling in a lot of the really
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3.9.2 Data Flow Diagram (DFD) DFD or Data Flow Diagram is a graphical representation that showing the flow of data of information system. It also shows the structured design of the program to replace the flowchart or pseudo code as program tool. Basically DFD can be divided into four components such as entity or external entity‚ process‚ data store and data flow. DFD start with an overview of the system that needs to be designed. This DFD known as context DFD that contain the entity and the process
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technology‚ and spreadsheet is one of the great technological inventions that greatly improve working efficiency. Spreadsheet is a computer application with functions that can improve the user’s productivity in collecting‚ analyzing‚ and sharing tabular data sets. It displays multiple cells usually in a two-dimensional matrix or grid making up of rows and columns. Each cell contains alphanumeric text‚ numeric values‚ or formulas (Wikipedia‚ 2011). Bagranoff (2010) thought spreadsheet allows users to make
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Data Warehouses and Data Marts: A Dynamic View file:///E|/FrontPage Webs/Content/EISWEB/DWDMDV.html Data Warehouses and Data Marts: A Dynamic View By Joseph M. Firestone‚ Ph.D. White Paper No. Three March 27‚ 1997 Patterns of Data Mart Development In the beginning‚ there were only the islands of information: the operational data stores and legacy systems that needed enterprise-wide integration; and the data warehouse: the solution to the problem of integration of diverse and often redundant
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Page 1 Module: Database Systems Chapter 1 The Entity Relationship Modelling The Concepts of Entity Relationship Model 1.1 Entity Types A group of objects with the same properties‚ which are identified by the enterprise as having an independent existence. Entity occurrence is referring to a unique identifiable object of an entity type. Figure 1.0 Example of entities with a physical or conceptual existence 1.2 Relationship Type A set of meaningful associations among entity types
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Data Warehousing and Data mining December‚ 9 2013 Data Mining and Data Warehousing Companies and organizations all over the world are blasting on the scene with data mining and data warehousing trying to keep an extreme competitive leg up on the competition. Always trying to improve the competiveness and the improvement of the business process is a key factor in expanding and strategically maintaining a higher standard for the most cost effective means in any
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Turning data into information © Copyright IBM Corporation 2007 Course materials may not be reproduced in whole or in part without the prior written permission of IBM. 4.0.3 Unit objectives After completing this unit‚ you should be able to: Explain how Business and Data is correlated Discuss the concept of turning data into information Describe the relationships between DW‚ BI‚ and Data Insight Identify the components of a DW architecture Summarize the Insight requirements and goals of
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DATA WAREHOUSES & DATA MINING Term-Paper In Management Support System [pic] Submitted By: Submitted To: Chitransh Naman Anita Ma’am A22-JK903 Lecturer 10900100 MSS ABSTRACT :- Collection of integrated‚ subject-oriented‚ time-variant and non-volatile data in support of managements decision making process. Described as the "single point of truth"‚ the "corporate memory"‚ the sole historical register of virtually all transactions
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