"Discuss optimization techniques specific to data warehousing and data mining" Essays and Research Papers

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    Data Collection Process

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    briefly explain the quantitative data collection. Data collection is often costliest and the most time consuming portion of study.Quantitative research is an approach for testing objective theories by examining the relationship among variables.The data collection method in quantitative research is in structured manner which involves decent planning of data collection. The planning of data collection process involves certain steps as follows: Identification of data needs. Selecting types

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    Warehousing

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    Outsourced Operations Warehousing Decision – Insource or Outsource? Warehouse Management: The Insourcing Perspective In-sourcing is a strategic business and human resources alternative to outsourcing. In-sourcing means building up or adding new business activities in the company that have been or could be outsourced. There’s a common philosophy “Do what you do best and outsource the rest”. It is a common practice to outsource logistics and supply chain activities like warehousing. However‚ as the

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    Data Center Architecture

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    A Resilient Architecture for Automated Fault Tolerance in Virtualized Data Centers Wai-Leong Yeow‚ C´ dric Westphal‚ e and Ulas C. Kozat ¸ DoCoMo USA Labs‚ 3240 Hillview Ave‚ Palo Alto‚ CA 94304‚ USA e-mail: wlyeow@ieee.org‚ {cwestphal‚kozat}@docomolabs-usa.com Abstract—Virtualization is a key enabler to autonomic management of hosted services in data centers. We show that it can be used to manage reliability of these virtual entities with virtual backups. An architecture is proposed to autonomously

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    Data Collection Methods

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    Factors that influence the selection of data collection instruments Data Collection is an important aspect of any type of research study. Inaccurate data collection can impact the results of a study and ultimately lead to invalid results. Data collection methods for impact evaluation vary along a continuum. At the one end of this continuum are quantitative methods and at the other end of the continuum are Qualitative methods for data collection. A data collection instrument is a tool for monitoring

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    Data Link Layer

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    Data Link Layer INTRODUCTION: Now a day’s communication is vital for the entire world‚ nothing happens without communication. The cell radio communication and wireless computer networks of GSM (Global System Mobile)‚ CDMA (Code Division Multiple Access) type are worldwide communication systems. All these communication systems are based on the reference model OSI-RM (Open System Interconnection-Reference Model) Description of OSI-RM System: OSI-RM is an International Standard ISO that defines

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    Digital Data Transmission

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    Digital Transmission of Digital Data Digital Transmission of Digital Data Digital Data -- can be represented electronically(by sequences of specified voltage levels) or optically Digital Transmission -- sending of information over a physical communications media in the form of digital signals. Page 2 Digital Transmission of Digital Data  Computers produce binary data  Standards needed to ensure both sender and receiver understands this data  Codes: digital combinations

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    Data Collection Strategy

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    Data Collection Data Collection is an important aspect of any type of research study. Inaccurate data collection can impact the results of a study and ultimately lead to invalid results. Data collection methods for impact evaluation vary along a continuum. At the one end of this continuum are quantatative methods and at the other end of the continuum are Qualitative methods for data collection . Quantitative and Qualitative Data collection methods The Quantitative data collection methods

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    Data Quality Processes

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    2 Analyze Information Environment 3 Assess Data Quality and data quality. The steps are shown in the figure and described in the box. 5 Identify Root Causes 6 Develop Improvement Plans 4 Assess Business Impact 7 Prevent Future Data Errors 9 Implement Controls 8 Correct Current Data Errors 10 Communicate Actions and Results The Ten Steps Process—Assessing‚ Improving‚ and Creating Information and Data Quality 1. Define Business Need and Approach— Define

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    without the network planning and configuration of the Data-Warehouse‚ Data-Mart and Data-Mining. The relational database series of logically related two-dimensional tables or files to store information in the form of a database. The files that Wal-Mart will create for an online ordering would be order would be Order Number‚ Order Date‚ Customer Number‚ Delivery Address‚ and Amount Ordered. Employee files would also have unique data‚ Employee Number‚ Data of Hire‚ Employee Name‚ (first and last). Regular

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    CHAPTER 2 DATA COLLECTION AND PRESENTATION 2.1 Data Collection This section aims to: 1. Identify‚ compare and contrast the different types of data; 2. List and explain the various techniques of selecting a sample; and 3. Enumerate and illustrate the different sampling techniques Types of Data Data is a collection of facts‚ such as values or measurements. It can be numbers‚ words‚ measurements‚ observations or even just descriptions of things. Two types of Data Primary Data means original

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