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Aug 18, 2013· Junling Hu presents a high level overview of data mining at the "Data Mining Case Study" meetup at the HackerDojo in Mountain View, Ca on Aug 17th 2013.

A. Bitukov answers: Xiaohua Hu wrote excellent case study. It was published in Journal of Applied Intelligence, A Data Mining Approach for Retailing Bank Customer Attrition Analysis. Also, here are a couple good case studies from the Journal of Database Marketing:

Contact Information Data Mining for a Swiss Client The Client Our client in question is a leading multinational manufacturer of scales, analytical instruments, precision instruments, and weighing equipment for different industry sectors.

Underground Mining Methods presents the latest principles and techniques in use today. Reflecting the international and diverse nature of the industry, a series of mining case studies is presented covering the commodity range from iron ore to diamonds extracted by .

Data Mining and Predictive Analytics Case Study [CAS1594] Making Big Data + Analytics Simple Charlie Berger, MS Engineering, MBA Sr. Director Product Management, Advanced Analytics and Machine Learning ... Case Study: Predicting Spare Partsrisk 14 Problem Statement

Course Description. This course is for intermediate Excel users: take your Excel skills to the next level using a professional Apple case study. You'll. Benefit from realworld practices used by professionals serving Fortune 100s; Employ industry best practices to ensure your work is easily auditable by executives, stakeholders, and colleagues

A Case Study: Data Mining Applied to Student Enrollment César Vialardi 1, Jorge Chue, Alfredo Barrientos, Daniel Victoria 1, Jhonny Estrella, Juan Pablo Peche1 and Álvaro Ortigosa {cvialar, jchue, abarrien, dvictoria, jestrella, jpeche},

In this paper we describe the results of the educational data mining case study aimed at predicting the Electrical Engineering (EE) students drop out after the first semester of their studies or even before they enter the study program as well as identifying successfactors specific to the EE program.

This book contains examples, code, and data for decision trees, random forest, regression, clustering, outlier detection, time series analysis, association rules, text mining and social network analysis and three realworld case studies.

The Data Mining Case Studies Workshop was established in 2005 to showcase the very best in data mining case studies. We also established that Data Mining Practice Prize to attract the best submissions, and to provide an incentive for commercial companies to come into the spotlight.

Educational Data Mining: a Case Study Agathe MERCERON* and Kalina YACEF+ *ESILV Pôle Universitaire Léonard de Vinci, France +School of Information Technologies University of Sydney, Australia,, kalina this paper, we show how using data mining algorithms can help discovering

Denver International Airport Risks Identified Timing Risks The airport management changed their strategies in 1991when it was too late after realizing they would be responsible if an integrated system was built from individual airlines thus exposing the project.

Foreword 3 Water management in mining: a selection of case studies F o r e w o r d Water is a fundamental resource for life. Whether from groundwater or surface water sources,

Case Studies of Crime Data Mining Based on the crime characteristics and analysis techniques discussed above, we present four case studies of crime data mining that are part of our ongoing COPLINK project.

Web Data Mining: A Case Study Jones Gupta Web Data Mining: A Case Study Samia Jones Galveston College, Galveston, TX 77550 Omprakash K. Gupta Prairie View AM, Prairie View, TX 77446 okgupta Abstract With an enormous amount of data stored in databases and data warehouses, it is ...

Studies have found that Australian mining workers regularly begin their shift dehydrated and may lose as much as four or five litres of fluid during a 10 hour shift. "We encourage our employees to drink a bottle of water before they come to work and drink fluid consistently throughout the day."

This course will introduce the learner to text mining and text manipulation basics. The course begins with an understanding of how text is handled by python, the structure of text both to the machine and to humans, and an overview of the nltk framework for manipulating text.