PRINCIPLES OF DATA QUALITY Arthur D. Chapman1 Although most data gathering disciples treat error as an embarrassing issue to be expunged‚ the error inherent in [spatial] data deserves closer attention and public understanding …because error provides a critical component in judging fitness for use. (Chrisman 1991). Australian Biodiversity Information Services PO Box 7491‚ Toowoomba South‚ Qld‚ Australia email: papers.digit@gbif.org 1 © 2005‚ Global Biodiversity Information Facility Material
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Data Mining On Medical Domain Smita Malik‚ Karishma Naik‚ Archa Ghodge‚ Shivani Gaunker Shree Rayeshwar Institute of Engineering & Information Technology Shiroda‚ Goa‚ India. Smilemalik777@gmail.com; naikkarishma39@gmail.com; archaghodge@gmail.com; shivanigaunker@gmail.com Abstract-The successful application of data mining in highly visible fields like retail‚ marketing & e-business have led to the popularity of its use in knowledge discovery in databases (KDD) in other industries
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Hyper Market Industry in Sharjah‚ UAE: An Evaluation using AHP technique Abstract Among all retail formats hypermarket is growing very fast in UAE that is at the rate of 150 percent. The major players in this sector are Carrefour‚ Spinney’s‚ United‚ Choithram and Lulu. The focus of the problem is selecting a best hypermarket among the existing operators of Sharjah and for which we used seven major criteria for evaluating the hypermarkets such as product availability and
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2.2.3 Data Collection Another crucial stage that cannot be ignored is deciding on the type and nature of data that is to be used in the research. Ideally‚ there are three types of data that a researcher can collect using primary research. First‚ the data can be quantitative in nature. This refers to data that is capable of been converted into a numerical value (Kothari 2004). One of the benefits of quantitative data is that its measurement does not require critical reviews‚ making it easy to collect
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An Oracle White Paper July 2010 Data Masking Best Practices Oracle White Paper—Data Masking Best Practices Executive Overview ........................................................................... 1 Introduction ....................................................................................... 1 The Challenges of Masking Data ....................................................... 2 Implementing Data Masking .............................................................. 2
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general about soft skills‚ examples of soft skills that are needed for university students and its importance. “What are soft skills?” According to the oxford online dictionary soft skills are “personal attributes that enable someone to interact effectively and harmoniously with other people” . It is mainly the ability of a person to think critically and make decisions independently‚ soft skills usually used much of Emotional Intelligence (EQ)‚ from the thinking skills prongs other soft skills that
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Introduction to Basic Statistics Pat Hammett‚ Ph.D. 2005 Instructor Comments: This document contains an overview of basic probability and statistics. It also includes a practice test at the end of the document. Note: answers to the practice test questions are included in an appendix. 1 Pat Hammett University of Michigan Table of Contents 1. VARIABLES- QUALITATIVE AND QUANTITATIVE......................3 1.1 Qualitative Data (Categorical Variables or Attributes) .............
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which are explained further below: • “Hard” HR • “Soft” HR However‚ it is important to remember that‚ in reality‚ these two approaches are somewhat academic in nature. In real businesses‚ an HR department or manager would be likely to adopt elements of both soft and hard HR‚ and in many cases would not be interested in the slightest in the distinction! The key features of the hard and soft approach to HR can be summarised as follows: Hard HR Management Soft HR Management Treats employees simply
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Corresponding Author: Gianluca Zanutto Office: (+39) 0432 55 82 96 Fax: (+39) 0432 55 82 51 e-mail: zanutto@uniud.it 1 Abstract This study analyzes the most widewpread methodologies available in literature used to measure complexity. The research moves from a theoretical physic perspective‚ through the Complexity Theory‚ to a manufacturing system. On these subjects‚ two classification frameworks are proposed in order to categorize the most widespread measures. In particular‚ the second classification
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Hard skills are usually related to professional knowledge‚ tools‚ or techniques that allow us to work within our profession. Hard skills are learned. You are taught them in school or from books. They are a way of doing something; a procedure‚ a best practice. Some examples of hard skills are designing a bridge; developing software; applying taxation laws; and injecting a vaccine. (Lipton‚ 2014‚ p.4) Soft skills are more difficult to quantify. These skills are personality qualities‚ habits‚ attitudes
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