Data Mining Melody McIntosh Dr. Janet Durgin Information Systems for Decision Making December 8‚ 2013 Introduction Data mining‚ or knowledge discovery‚ is the computer-assisted process of digging through and analyzing enormous sets of data and then extracting the meaning of the data. Data mining tools predict behaviors and future trends‚ allowing businesses to make proactive‚ knowledge- driven decisions Although data mining is still in its infancy
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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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Definition: Statistics is the study of the collection‚ organization‚ analysis‚ interpretation and presentation of data. It deals with all aspects of this‚ including the planning of data collection in terms of the design of surveys and experiments. A statistician is someone who is particularly well-versed in the ways of thinking necessary for the successful application of statistical analysis. Such people have often gained experience through working in any of a wide number of fields. Some
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The Trait Approach The trait approach was one of the first systematic attempts to study leadership‚ according to Peter Northouse (2004). This approach has been studied for many decades‚ and scholars have identified five major leadership traits in the past 50 years: intelligence‚ self-confidence‚ determination‚ integrity and sociability. In addition‚ in recent years‚ there has been a renewed interest in understanding the relationship between personality traits and leadership. The Big Five Personality
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THE DIFFERENCES BETWEEN CONVENTIONAL AND ISLAMIC ACCOUNTING ABSTRACT The concern of this project paper is to explore the differences between Islamic accounting and its conventional counterpart. The distinctions need to be addressed as both accounting is presently thought of many people as synonymous. There is danger for such kind of perception because the basic building blocks for respective accounting are worlds apart. As for professional accountants who have been taught on the idea for accounting
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Islamic Banking vs. Conventional Banking In most Islamic countries‚ they tend to practice two types of financing in banking industry which are conventional and Islamic banking. The country like in Malaysia has successfully developed an Islamic banking system that operates in parallel with the conventional banking system. There is similarity between conventional banking and Islamic banking which helps to promote economic growth provided financing services such as credit facilities for business activity
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University CS 450 Data Mining‚ Fall 2014 Take-Home Test N#1 Date: September 22nd‚ 2014 Final deadline for submission September 29th‚ 2014 Weighting: 5% Total number of points: 100 Instructions: 1. Attempt all questions. 2. This is an individual test. No collaboration is permitted for assessment items. All submitted materials must be a result of your own work. Part I Question 1 [20 points] Discuss whether or not each of the following activities is a data mining task.
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TITLE PAGE: COMPARATIVE ANALYSIS OF PERFORMANCE OF BANKS IN MALAYSIA:ISLAMIC AND CONVENTIONAL BANKS FROM 2006 to 2010 By: SATHESH A/L GOPINATHAN B0702069 Graduation Project Submitted to the Department of Business Studies‚ HELP University College‚ in Partial Fulfillment of the Requirements for the Degree of Bachelor of Business (Finance) Hons OCTOBER 2011 DECLARATION OF ORIGINALITY & WORD COUNT I hereby declare that the following graduation project is actually based on my original work except
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that could be handled out by law. Unitarian approach The Unitarian approach optimizes the benefits for the greatest number of people. This would include establishing a conflict free workplace as possible. This can be accomplished if the managers and worker’s objectives are in agreement with each other. This approach is not feasible in today’s fast growing and complex business world. (Study Mode 2014)
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and Kimball’s definition of Data Warehousing. Bill Inmon advocates a top-down development approach that adapts traditional relational database tools to the development needs of an enterprise wide data warehouse. From this enterprise wide data store‚ individual departmental databases are developed to serve most decision support needs. Ralph Kimball‚ on the other hand‚ suggests a bottom-up approach that uses dimensional modeling‚ a data modeling approach unique to data warehousing. Rather than building
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