A data mining approach to analysis and prediction of movie ratings M. Saraee‚ S. White & J. Eccleston University of Salford‚ England Abstract This paper details our analysis of the Internet Movie Database (IMDb)‚ a free‚ user-maintained‚ online resource of production details for over 390‚000 movies‚ television series and video games‚ which contains information such as title‚ genre‚ box-office taking‚ cast credits and user ’s ratings. We gather a series of interesting facts and relationships
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Ministry over the coal mine rights. The Ministry of Coals had earlier (2010) considered keeping 10% of thickly forested areas in the “no go” zone and open others for mining after following the due clearance process. Prior to that the environment ministry had carried out a joint exercise with the coal ministry studying nine major coal mining areas. fields (Singrauli‚IB valley‚Mand Raigarh‚Sohagpur‚Talcher‚Vardha valley‚Hasdeo-Arand‚ North karanpura and West bokaro). The ministry classified these blocks
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South Africa is a world leader is terms of mining. Mining constitutes a major part of its economy; one of the major players in the sector is platinum mining. Due to its size any changes in platinum mining would have an impact on the economy as a whole and to a lesser extent the world. The Recent strikes in this industry have caused negative effects on the economy. My essay will look at these effects in terms of output‚ prices and employment. I will also look at the macroeconomic variables that have
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Web Structure Mining: A Comparative Analysis of HITS Algorithm Mrs. Charmy Patel#1‚ Mrs. Kinjan Chauhan#2 and Mrs. Priti Patel#3 #Shree Ramkrishna Institute of Computer Education and Applied Sciences‚ M.T.B College Campus‚ Athwalines‚ Surat‚ Gujarat‚ India. 1charmyspatel@gmail.com 2Kinjanchauhan99@gmail.com 3priti_patel22@hotmail.com Abstract: Today the amount of data available online is increasing widely. the World Wide Web has becoming one of the most valuable resources for information
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Case StudyWhat Can Businesses Learn From Text Mining?Text mining is the discovery of patterns and relationships from large sets of unstructured data – the kind of data we generate in e-mails‚ phone conversations‚ blog postings‚ online customer surveys‚ and tweets. The mobile digital platform has amplified the explosion in digital information‚ with hundreds of millions of people calling‚ texting‚ searching‚ “apping” (using applications)‚ buying goods and writing billions of e-mails on the go.Consumers
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China xbm 2012 mining machinery ball mill Detailed Product Description 1. Rugged construction‚ reliable operation 2 .Easy installation‚ adjustment and maintenance 3. Large Capacity‚ continuous work Description of 2012 mining machinery ball mill Grinding is the last stage in the process of communication; in this stage the particles are reduced by a communication of impact and abrasion‚ either dry or in suspension in waterBall mills
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Chapter 6: Multiple Linear Regression Data Mining for Business Intelligence Shmueli‚ Patel & Bruce © Galit Shmueli and Peter Bruce 2010 Topics Explanatory vs. predictive modeling with regression Example: prices of Toyota Corollas Fitting a predictive model Assessing predictive accuracy Selecting a subset of predictors (variable selection) Explanatory Modeling Goal: Explain relationship between predictors (explanatory variables) and target Familiar use of regression in data analysis
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An Argument against Drilling in the Alaskan National Wildlife Reserve By: James Andrew Whitten Government Economics Heath Vincent March 5‚ 2013 America’s rank as the world’s leading superpower gives the nation unsurpassed clout throughout the rest of the world‚ but as the old saying goes “With great power comes great responsibility.” Many other nations not only rely on America’s economy for their own country’s survival‚ but they also look up to America with a hopeful sense for the future
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Case Study Analysis Introduction & Context The Antamina Mining Company (“CMA”) faced a set of critical decisions related to technical‚ logistical‚ political and financial challenges for establishing copper and zinc mining operations in a remote area of the Northern Peruvian Andes in the 1990s. This analysis is based primarily on the SEKN Case Study from March 5‚ 2007‚ entitled “Moving Mountains: The Case of the Antamina Mining Company”. Specifically‚ we considered the following questions
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DESCRIPTIVE DATA MINING ON FRAUDULENT ONLINE DATING PROFILES Pan‚ Jinjian A.‚ The University of New South Wales‚ School of Information Systems Technology and Management‚ Sydney‚ NSW 2052‚ jinjian.pan@cba.com.au Winchester‚ Donald‚ The University of New South Wales‚ School of Information Systems Technology and Management‚ Sydney‚ NSW 2052 d.winchester@unsw.edu.au Land‚ Lesley‚ The University of New South Wales‚ School of Information Systems Technology and Management‚ Sydney‚ NSW 2052‚ l.land@unsw
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