Data Mining Abdullah Alshawdhabi Coleman University Simply stated data mining refers to extracting or mining knowledge from large amounts of it. The term is actually a misnomer. Remember that the mining of gold from rocks or sand is referred to as gold mining rather than rock or sand mining. Thus‚ data mining should have been more appropriately named “knowledge mining from data‚” which is unfortunately somewhat long. Knowledge mining‚ a shorter term‚ may not
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A glimpse of Big Data Jan. 2013 What is big data? “Big data is not a precise term; rather it’s a characterization of the never ending accumulation of all kinds of data‚ most of it unstructured. It describes data sets that are growing exponentially and that are too large‚ too raw or too unstructured for analysis using relational database techniques. Whether terabytes or petabytes‚ the precise amount is less the issue than where the data ends up and how it is used.”------Cite from EMC’s report
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Analysis of 2010 US Census Data TARTU 2013 Table of Contents 1. 2. 3. Abstract ............................................................................................................................... 3 US Census ........................................................................................................................... 4 Implementation ................................................................................................................... 5 3.1. 3.2. 3.3.
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Context of the Study 2. Statement of the Problem a. General Statement b. Specific Statement 3. Objective of the Study a. General Objective b. Specific Objective 4. Scope and Limitation of the Study 5. Significance of the Study 6. Motivation REVIEW OF RELATED LITERATURE AND STUDIES 1. Review of Related Literature 2. Review of Related Studies 3. Conceptual Framework 4. Operational Definition of Terms METHODOLOGY 1. Methods of Research 2. Data Gathering Techniques 3. Statistical Treatment of Data (optional)
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Big Data Management: Possibilities and Challenges The term big data describes the volumes of data generated by an enterprise‚ including Web-browsing trails‚ point-of-sale data‚ ATM records‚ and other customer information generated within an organization (Levine‚ 2013). These data sets can be so large and complex that they become difficult to process using traditional database management tools and data processing applications. Big data creates numerous exciting possibilities for organizations‚
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International Journal of Evaluation and Research in Education (IJERE) Vol.3‚ No.2‚ June 2014‚ pp. 79~84 ISSN: 2252-8822 79 Critical Analysis of the Problems of Education in Pakistan: Possible Solutions Iqbal Ahmad1‚ Kahil ur Rehman2‚ Asghar Ali1‚ Itbar Khan1‚ Fazal Akber Khan1 1 Faculty of Education‚ Department of Education‚ University of Malakand‚ Pakistan 2 University of Education‚ Lahore‚ Pakistan Article Info ABSTRACT Article history: Education lays the foundation for political‚ social
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TYPES OF DATA AND COMPONENTS OF DATA STRUCTURES Data types 1. Primitive: is a data type provided by a programming language as a basic building block 2. Composite: is any data type which can be constructed in a program using its programming language’s primitive data types and other composite types 3. Abstract: is a mathematical model for a certain class of data structures that have similar behavior; or for certain data types of one or more programming languages that have similar semantics
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Leadership Teams Chinita Bascom Grand Canyon University: EDA 577 August 20‚ 2014 School Improvement Team: Problem to Address Who is need? Objectives Data Analysis Affected Process Principal To find out why the students were late or absent. Improve student academic performance. Student Achievement Assistant Principal To know who often the students committed truancy. Data-Based Decisions-Making Parental Involvement Guidance Counselor To identify ways to help students rise above
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Task 4 The Data Protection Act 1998: The Data Protection Act is made for the safety of people’s personal information‚ this means that ecommerce businesses or businesses as normal must keep their customers information safe and not use it for wrong reasons such as sharing their personal information. So this means that this rule must also go with West London Watches‚ they must follow this rule to. Businesses and organisations are allowed to use their customers information is some ways but there are
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Enhancing Customer Data Enhanced Customer Data Repository is a secure and fully supported data repository with problem determination tools and functions. It updates problem management records (PMR) and maintains full data life cycle management. · combination of all the internal structured business data (CRM‚ ERP‚ POS and all the internal system data) and external unstructured data ( Social media data‚ feedback surveys‚ Audios‚ Videos‚ streaming data‚ Call center data‚ images) · unmanageable volumes
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