Data Dictionary: A software module and database containing descriptions and definitions concerning the structure‚ data elements‚interrelationships‚ and other characteristics of an organization’s databases. Data Mining: A process where data in a data warehouse is identified to discover key business trends and factors. Data Modeling: A process where the relationships between data elements are identified and defined to develop data models. Data Planning: A planning and analysis function
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Designing of a Database is considered as a systematized process that moulds data into a structure which is similar to the underlying system of database management model. Systems of database management are categorized into three main types: hierarchical‚ relational‚ and network. Database design is a process to organize data into a form which matches the underlying data model of the database management system. There are three major types of database management systems: network‚ hierarchical‚ and relational
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do you mean by data communication? Ans: It is the exchange of data between two devices via some form of transmission medium such as wire cable. The communicating system must be part of a communication system made up of a combination of hardware and software. The effectiveness of a data communication system depends on three fundamental characteristics: delivery‚ accuracy and timeliness. 2. What is simplex? Ans: It is the mode of communication between two devices in which flow of data is unidirectional
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1 Define data mining. Why are there many different names and definitions for data mining? Data mining is the process through which previously unknown patterns in data were discovered. Another definition would be “a process that uses statistical‚ mathematical‚ artificial intelligence‚ and machine learning techniques to extract and identify useful information and subsequent knowledge from large databases.” This includes most types of automated data analysis. A third definition: Data mining is the
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The Evolution of Data Models The quest for better data management has led to different models that attempt to resolve the file system’s critical shortcomings. Because each data model evolved from its predecessors‚ it is essential to examine the major data models in roughly chronological order. 1.1 The Hierarchical Model A Hierarchical Database Model is a data model in which the data is organized into a tree-like structure. The structure allows representing information using parent/child relationships:
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http://hdl.handle.net/2451/31553 Data Science and Prediction Vasant Dhar Professor‚ Stern School of Business Director‚ Center for Digital Economy Research March 29‚ 2012 Abstract The use of the term “Data Science” is becoming increasingly common along with “Big Data.” What does Data Science mean? Is there something unique about it? What skills should a “data scientist” possess to be productive in the emerging digital age characterized by a deluge of data? What are the implications for business
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Data Collection Methods III Questionnaires A questionnaire is a preformatted written set of questions to which respondents record their answers usually within rather closely defined alternatives. Questionnaires are an efficient data collection mechanism when the researcher knows exactly what is required and how to measure the variables of interest. Questionnaires can be administered personally‚ mailed to the respondents‚ or electronically distributed. Guidelines for Questionnaire Design
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The Other Side of Data Mining Maral Aghazi – 500287851 November 10th‚2012 ITM 200 Professor Roger De Peiza "As we and our students write messages‚ post on walls‚ send tweets‚ upload photos‚ share videos‚ and “like” various items online‚ we’re leaving identity trails composed of millions of bits of disparate data that corporations‚ in the name of targeted advertising and personalization‚ are using to track our every move” (McKee‚ 2011). Data mining has become extremely prevalent in today’s society
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Paper Creating a Data Warehouse Introduction Data warehouses are the latest buzz in the business world. Not only are they used to store data for reporting and forecasting‚ but they are part of a decision support system. There are many reasons for creating and using a data warehouse. The data warehouse will support the decisions a business needs to make‚ usually on a daily basis. The data warehouse collects data‚ consolidates the data for reporting purposes. Data warehouses are accompanied
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ITKM Analysis of Data Mining The article Data Mining by Christopher Clifton analyzed how different types of data mining techniques have been applied in crime detection and different outcomes. Moreover‚ the analysis proposed how the different data mining techniques can be used in detection of different form of frauds. The analysis gave the advantages and disadvantages of using data mining in different operation. The major advantage was that data mining enables analysis of large quantities
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