Environmental studies assignment Ques 1: Mining Mining is the extraction of valuable minerals or other geological materials from the earth. Ores recovered by mining include metals‚ coal‚ oil shale‚ gemstones‚ limestone‚ dimension stone‚ rock salt‚ potash‚ gravel‚ and clay. Mining is required to obtain any material that cannot be grown through agricultural processes‚ or created artificiallyin a laboratory or factory. Mining in a wider sense includes extraction of any non-renewable resource such as petroleum
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Data & Knowledge Engineering Introduction Database Systems and Knowledgebase Systems share many common principles. Data & Knowledge Engineering (DKE) stimulates the exchange of ideas and interaction between these two related fields of interest. DKEreaches a world-wide audience of researchers‚ designers‚ managers and users. The major aim of the journal is to identify‚ investigate and analyze the underlying principles in the design and effective use of these systems.DKE achieves this aim
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Mining Changes for Real-Life Applications Bing Liu‚ Wynne Hsu‚ Heng-Siew Han and Yiyuan Xia School of Computing National University of Singapore 3 Science Drive 2 Singapore 117543 {liub‚ whsu‚ xiayy}@comp.nus.edu.sg Abstract. Much of the data mining research has been focused on devising techniques to build accurate models and to discover rules from databases. Relatively little attention has been paid to mining changes in databases collected over time. For businesses‚ knowing what is changing and
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Accidents Due To Machinery Welcome to all Participants Trend of fatal Accidents in non -coal Mines Year Fatal Accidents 1998 61 2000 51 2002 52 2004 57 2005 48 2006 62 Accidents due to Machinery in Non – Coal Mines Year Fatal Accidents Due to Machinery 2001 71 33 2002 52 19 2003 52 21 2004 57 26 2005 48 23 2006 62 25 Causes of fatal Accidents due to Machinery‚non coal Mines in 2005 Transport machinery(winding)- nil Transport machinery(other
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Association Rule Mining using Apriori Algorithm Ghanshyam Verma‚ Shruthi Varadhan Computer Technology Department KITS-Ramtek‚ Nagpur-441106 gs.verma@live.com shruthivaradhan@gmail.com Abstract— Data mining is the process that results in the discovery of new patterns in large data sets. Data mining involves six common classes of tasks: Anomaly detection‚ Association Rule Mining‚ clustering‚ classification‚ regression and summarization. Association rule learning is a popular and well researched
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Systems The goal of the term project is to develop a useful and viable prediction or classification model based on data. You will need to develop a research question‚ which you refine further based on the availability of data. You may need to merge multiple data sets together. Process: • Each team of 2 or 3 students will work on a business problem involving data analysis with real data. The project will focus on classification and prediction methods we covered during the semester. • A presentation
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are companies unsure/skeptical on how to proceed with "Big Data"? Answer: Although organizations are increasingly becoming aware of the power that “Big Data” has or can bring‚ they are still unsure how to use it in their situation. They feel their organization is not ready. One of more of the three scenarios is possible. Companies may have a lot of data but they fail to read or decipher it correctly. Perhaps these companies invested in data warehousing and other such programs mindlessly without verying
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Data Analysis And Design BTEC HIGHER NATIONAL DIPLOMA Assignment Institute Name : IDM Computer Studies Pvt. Ltd. Unit Name : Data Analysis and Design Unit : Unit 13 Assignment Title : Understanding and Analysis‚ Design and Implementation of Database system. Date given : 10th May 2010 Date to be submitted : 20th July 2010 Lecturer : Mr. T. Shanakr Rational The objective of this assignment is to assure that the
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Introduction to Data Mining Summer‚ 2012 Homework 3 Due Monday June.11‚ 11:59pm May 22‚ 2012 In homework 3‚ you are asked to compare four methods on three different data sets. The four methods are: • Indicator Response Matrix Linear Regression to the Indicator Response Matrix. You need to implement the ridge regression and tune the regularization parameter. The material of this algorithm can be found in Page 103 to Page 106 in the book ”The Elements of Statistical Learning” (http://www-stat
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Using Web Mining Preeti Sharma & Sanjay Kumar NIT Raipur‚ Raipur‚ Chattishgarh‚ India E-mail: preeti.nitu@gmail.com & Skumar.IT@nitrr.ac.in Abstract - Customer satisfaction is the key secret of success for all industries regardless of whether it is web enabled or not. This paper focuses the role of web mining in achieving a viable edge in business. Web mining is becoming the tool for success for those who adopt electronic means of operation for conducting their business. Web mining is the
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