Q) What are Secondary Data? Secondary Data Secondary data is information gathered for purposes other than the completion of a research project. Data previously collected by someone else‚ possibly for some other purpose that can be used later for making decisions if found suitable for the purpose‚ other than the original one. Secondary data can be acquired from the internal records of the organization‚ their departments‚ subsidiaries or sister organizations and also from external sources‚ such
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Ryan‚ Bernard / FIELD METHODS TECHNIQUES 10.1177/1525822X02239569 TO IDENTIFY THEMES ARTICLE Techniques to Identify Themes GERY W. RYAN RAND Health H. RUSSELL BERNARD University of Florida Theme identification is one of the most fundamental tasks in qualitative research. It also is one of the most mysterious. Explicit descriptions of theme discovery are rarely found in articles and reports‚ and when they are‚ they are often relegated to appendices or footnotes. Techniques are shared
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financially. That’s why we award a scholarship to the most deserving student- one that has significantly contributed to the LGBT+ community in ways that have stood out above the rest. I also contribute by applying my knowledge and experience to help identify with and guide people who are struggling with their own lives. The LGBT+ community‚ including myself‚ strives to make everyone feel included‚ accepted‚ and loved; that is what I believe to be the purpose of our
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business intelligence‚ data warehouse‚ data mining‚ text and web mining‚ and knowledge management. Justify and synthesis your answers/viewpoints with examples (e.g. eBay case) and findings from literature/articles. To understand the relationships between these terms‚ definition of each term should be illustrated. Firstly‚ business intelligence (BI) in most resource has been defined as a broad term that combines many tools and technologies‚ used to extract useful meaning of enterprise data in order to help
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This research is about the importance of fluency and accuracy in language learning; either as a second or a foreign language. It is found out that fluency is more important than accuracy. In other words‚ fluency represents the major section in language learning process‚ and it approximately covers all the important skills that lead to a successful communication. Survey findings show that majority of ELT teachers focus on fluency more than accuracy. Objectives: The following
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Data Preprocessing 3 Today’s real-world databases are highly susceptible to noisy‚ missing‚ and inconsistent data due to their typically huge size (often several gigabytes or more) and their likely origin from multiple‚ heterogenous sources. Low-quality data will lead to low-quality mining results. “How can the data be preprocessed in order to help improve the quality of the data and‚ consequently‚ of the mining results? How can the data be preprocessed so as to improve the efficiency and ease
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you have a vivid imagination‚ that is laid out in front of you by the author. The more detailed and precise the author is with describing the scene‚ as the reader‚ one seems more involved‚ with the story. Sensory imageries are a vital part of what makes a story memorable. The most important sensory imagery is the visual. A few examples of visual imagery include‚ “The Masque of the Red Death” by Edgar Allen Poe‚ Poe writes‚ “The figure was tall and gaunt and shrouded from head to foot in the habiliments
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Week 1: Charlene attended the program all three of her scheduled days this week. She participated in one sensory activity of project 2 out of the 3 days she attended. This week Charlene has the opportunity to make a spring flower painting using the bottom of a 16oz water bottle. Staff provided support to Charlene by setting up the activity‚ and providing HOH assistance as needed. First‚ staff guided Charlene from the recliner to a hard back chair at the table. Staff then immediately encouraged
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___________________________________ ___________________________________ Director Accepted: ____________________________________ Dean of the Graduate School Copyright © Sarah W. Sutton‚ 2011 All rights reserved. iii DEDICATION To my parents‚ Dr. Frank S. Williamson‚ Jr. and Mary C. Williamson‚ who taught me that I could be anything that I wanted to be and to my husband‚ Tommy Sutton‚ who believed it. iv ACKNOWLEDGMENTS I would like to extend my gratitude to my advisor‚ Dr. Lynn Akin for the knowledge
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Information Systems Management Research Project ON Data Warehousing and Data Mining Submitted in Partial fulfilment of requirement of award of MBA degree of GGSIPU‚ New Delhi Submitted By: Swati Singhal (12015603911) Saba Afghan (11415603911) 2011-2013
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