CHAPTER – 1 THE RESEARCH METHODOLOGY 1.1 Introduction 1.2 Title of the Problem 1.3 Review of literature 1.4 Objectives of the Study 1.5 Data Collection 1.6 Selection of Samples 1.7 Period of the Study 1.8 Hypothesis of the Study 1.9 Tools of Analysis (A) Ratio Analysis (B) Statistical Techniques • Average • Index Number • The Standard Deviation • Student – T – Test 1.10 Significance of the Study 1.11 Outline of Chapter Plan 1.12 Limitations of the
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of IPOs increases while in a bear market‚ the number falls due to poor response of the investors using IPO. But M&A activities are governed by competition with the strategies of own-them-if-can’t-beat-them or dual-benefit. The terms merger and acquisition are completely different although they have common motive of “creating value for stakeholders”. In 2009‚ public issues remained stagnant for most part of the year sowing the decline of 55% (in numbers) over 2008. Total proceed in the IPOs were
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CYBERCRIME LAW: Netizens VS. Cybercrime Law Abigail Tolentino Raven Jayd Casala Andreo Macoi Tacla Kristian Paolo Montecer Submitted in Partial Fulfillment of the Requirements in English IV High School Department Southgate Institute of Malvar February 2013 APPROVAL SHEET Title of Research Paper: CYBERCRIME LAW: Netizens VS. Cybercrime Law Name of Candidates: Abigail Tolentino Raven Jayd Casala Adreo Macoi Tacla Kristian Paolo Montecer _________________________ Ms
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Title: “Data Mining: The Mushroom Database” Author: Hemendra Pal Singh* In this review “Data Mining: The Mushroom Database” is focuses in the study of database or datasets of a mushroom. The purpose of the research is to broaden the preceding researches by administer new data sets of stylometry‚ keystroke capture‚ and mouse movement data through Weka. Weka stands for Waikato environment for knowledge analysis‚ and it is a popular suite of machine learning software written in Java‚ developed at
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A3 Compare two theories of first/second language acquisition. The process by which humans acquire the capacity to distinguish properly as well as produce and use words to understand and communicate with others is known as first language acquisition. It focuses mainly on how infants pick up their native language‚ including syntax and some extensive vocabulary items‚ having so little input. We can distinguish many theoretical approaches towards the first language learning process. Behaviourists‚
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Chapter 3 – Data Visualization Chapter 4 – Summary Statistics Data Mining for Business Intelligence Shmueli‚ Patel & Bruce © Galit Shmueli and Peter Bruce 2010 Data Visualization • “A picture is worth a thousand words” • Data visualization and summary statistics help condense data • Effective presentation • Supports data cleaning (identify missing values‚ outliers‚ incorrect values‚ duplicates) and exploring (combine some groups) • Helps identify suitable variables • Mandatory initial step for
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Data Input and Output Essay The methods of input of data may vary consistently. For instance‚ for printed questionnaires‚ the traditional method of input implies the use of computers’ keyboard by means of which the information that is supposed to be printed in a questionnaire is input. The same method may be used for long documents‚ though this may imply the use of different software applications. For instance‚ for printed questionnaires the simplest word processors may be used‚ while long documents
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Week 1 Project: Working With the Data Editor. I opened week 1 Technology Application from Doc Sharing. Downloading Statdisk 1) First go to the website www.statdisk.org and then scroll down to the bottom of the page to download the Statdisk program version 11.1.0 by clicking on the windows or the MAC version. It should look like the following. Choose the correct version for your computer. I went to www.statdisk.org and downloaded stat disk 11.1.0 mac OSX version
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Chapter 1 Introduction “DEAN” Empowering the administrator/s decisions Data is emerging as a new science‚ a result of the unprecedented increase in the amount of digital information produced today and the realization of innovative ways to extract value from it. Technological advances in Mapua Institute of Technology (MAPUA) have led to an abundance of digital information sources that constantly generate data in managing the school‚ coherently the School of Information Technology(SOIT). Though its
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with Data Mining Abstract Banking and finance institutions are growing very fast in this globalization era. Mergers‚ acquisitions‚ globalization have made these institutions bigger. No doubt‚ the data also grow real huge and more varied. Big data storage such as data warehouse and data marts are provided to give a solution on big data storage. On the other sides‚ those data are needed to be analyzed. Business intelligence finally comes in as a solution in analyzing those huge data. Business
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