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    data mining

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    Components of DSS (Decision Support System) Data Store – The DSS Database Data Extraction and Filtering End-User Query Tool End User Presentation Tools Operational Stored in Normalized Relational Database Support transactions that represent daily operations (Not Query Friendly) Differences with DSS 3 Main Differences Time Span Granularity Dimensionality Operational DSS Time span Real time Historic Current transaction Short time frame Long time frame Specific Data facts Patterns Granularity Specific

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    Data structures

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    BCSCCS 303 R03 DATA STRUCTURES (Common for CSE‚ IT and ICT) L T P CREDITS 3 1 0 4 UNIT - I (15 Periods) Pseudo code & Recursion: Introduction – Pseudo code – ADT – ADT model‚ implementations; Recursion – Designing recursive algorithms – Examples – GCD‚ factorial‚ fibonnaci‚ Prefix to Postfix conversion‚ Tower of Hanoi; General linear lists – operations‚ implementation‚ algorithms UNIT - II (15 Periods)

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    Big Data

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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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    Presentation of Marriage

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    conscious of wanting to look squarely at everyone‚ and yet to avoid all eyes” – cannot trust his perspective – notes his role as a narrator “rush out of the house‚ child in arms” – melodramatic – giving the story an imaginary aspect * The presentation of Daisy Buchanan and Jordan Baker Daisy can be read in two ways – trapped in her own life‚ being able to love two man‚ yet both men treat her as possessions / or she simply retreats and cocoons into comfort when things get tough The floaty

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    Hr Data

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    1 CIPD unit 4DEP - Version 2 18.03.10 Unit title Developing Yourself as an Effective Human Resources or Learning and Development Practitioner Level 4 1 Credit value 4 Unit code 4DEP Unit review date Sept. 2011 Purpose and aim of unit The CIPD has developed a map of the HR profession (HRPM) that describes the knowledge‚ skills and behaviours required by human resources (HR) and learning and development (L&D) professionals. This unit is designed to enable the learner

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    Visual Communication Techniques We live in a world of visual communication and images which promote‚ enhance‚ and inspire our perceptions in making decisions which affect every aspect of our daily lives. There are many different ways in which an author can communicate his ideas and intentions utilizing visual mediums such as television‚ newspapers‚ magazines‚ and now the computer. With the introduction of the computer‚ the digital techniques in visual communication can create even more inspiring

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    Data Mining

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    Chapter 1 Exercises 1. What is data mining? In your answer‚ address the following: Data mining refers to the process or method that extracts or \mines" interesting knowledge or patterns from large amounts of data. (a) Is it another hype? Data mining is not another hype. Instead‚ the need for data mining has arisen due to the wide availability of huge amounts of data and the imminent need for turning such data into useful information and knowledge. Thus‚ data mining can be viewed as the result of

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    presentation script

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    Good Morning Ladies and gentleman. I am from New Zealand’s tourism board and I am here today to give u a short presentation which will only take about your 5 minutes. My presentation is about the few interesting places to visit in New Zealand. First of all the Abel Tasman may be New Zealand’s smallest national park‚ but the attractions are huge. Located in one of New Zealand’s sunniest spots‚ it almost seems planned that the area also has the best beaches in the country. To move on‚ Beyond the beaches

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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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    4g Presentation

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    Introduction to OLED Displays Design Guide for Active Matrix OLED (AMOLED) Displays last updated 22 May 2008 www.4dsystems.com.au Introduction • Active Matrix OLED (AMOLED) is a new display technology that is rapidly becoming viable for many applications. • It has some undoubted benefits over competing technologies. • 4D holds no responsibility or liability for the accurateness of the information and how it is applied to any design. www.4dsystems.com.au What is an OLED? • OLED

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