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Author : Markus Hofmann
ISBN : 9781498759861
Genre : Business & Economics
File Size : 45. 13 MB
Format : PDF, Kindle
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Powerful, Flexible Tools for a Data-Driven WorldAs the data deluge continues in today's world, the need to master data mining, predictive analytics, and business analytics has never been greater. These techniques and tools provide unprecedented insights into data, enabling better decision making and forecasting, and ultimately the solution of incre

Rock Mechanics For Resources Energy And Environment

Author : Marek Kwasniewski
ISBN : 9781482229073
Genre : Technology & Engineering
File Size : 23. 93 MB
Format : PDF, Kindle
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This book contains the Proceedings of EUROCK 2013 – The 2013 ISRM International Symposium, which was held on 23-26 September 2013 in Wrocław, Poland. The Symposium was organized by the ISRM National Group POLAND and the Institute of Geotechnics and Hydrotechnics of the Wrocław Institute of Technology. The focus of the Symposium was on recent developments in the field of rock mechanics with an emphasis on the application of rock mechanics to the extraction of natural resources, securing energy supplies and protecting of the environment surrounding rock that is subjected to engineering activities. The main topics, which were covered in the 150 papers (including six keynote papers) that make up this book are: rock mass characterization, laboratory and in-situ testing, constitutive models and numerical modeling, mathematical modeling of THM processes in rocks, mine design and ground control, underground storage and waste disposal, slope and open pit stability, dynamic phenomena in rock masses, design methodology in rock engineering, mechanical breakage of rocks, rock tunnel excavation and support, petroleum rock mechanics and geological CO2 sequestration. The book also includes the 2013 ISRM Franklin Lecture by A. Goricki on the engineering aspects of geotechnical tunnel design. The book will be of interest and value to rock mechanics researchers as well as to professionals who are involved in the various branches of rock engineering.

Exploring Data With Rapidminer

Author : Andrew Chisholm
ISBN : 9781782169345
Genre : Computers
File Size : 28. 10 MB
Format : PDF, Kindle
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A step-by-step tutorial style using examples so that users of different levels will benefit from the facilities offered by RapidMiner.If you are a computer scientist or an engineer who has real data from which you want to extract value, this book is ideal for you. You will need to have at least a basic awareness of data mining techniques and some exposure to RapidMiner.

Predictive Analytics And Data Mining

Author : Vijay Kotu
ISBN : 9780128016503
Genre : Computers
File Size : 30. 9 MB
Format : PDF, Docs
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Put Predictive Analytics into Action Learn the basics of Predictive Analysis and Data Mining through an easy to understand conceptual framework and immediately practice the concepts learned using the open source RapidMiner tool. Whether you are brand new to Data Mining or working on your tenth project, this book will show you how to analyze data, uncover hidden patterns and relationships to aid important decisions and predictions. Data Mining has become an essential tool for any enterprise that collects, stores and processes data as part of its operations. This book is ideal for business users, data analysts, business analysts, business intelligence and data warehousing professionals and for anyone who wants to learn Data Mining. You’ll be able to: 1. Gain the necessary knowledge of different data mining techniques, so that you can select the right technique for a given data problem and create a general purpose analytics process. 2. Get up and running fast with more than two dozen commonly used powerful algorithms for predictive analytics using practical use cases. 3. Implement a simple step-by-step process for predicting an outcome or discovering hidden relationships from the data using RapidMiner, an open source GUI based data mining tool Predictive analytics and Data Mining techniques covered: Exploratory Data Analysis, Visualization, Decision trees, Rule induction, k-Nearest Neighbors, Naïve Bayesian, Artificial Neural Networks, Support Vector machines, Ensemble models, Bagging, Boosting, Random Forests, Linear regression, Logistic regression, Association analysis using Apriori and FP Growth, K-Means clustering, Density based clustering, Self Organizing Maps, Text Mining, Time series forecasting, Anomaly detection and Feature selection. Implementation files can be downloaded from the book companion site at www.LearnPredictiveAnalytics.com Demystifies data mining concepts with easy to understand language Shows how to get up and running fast with 20 commonly used powerful techniques for predictive analysis Explains the process of using open source RapidMiner tools Discusses a simple 5 step process for implementing algorithms that can be used for performing predictive analytics Includes practical use cases and examples

Learn By Examples A Quick Guide To Data Mining With Rapidminer And Weka

Author : Eric Goh
Genre : Business & Economics
File Size : 58. 70 MB
Format : PDF
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This book aim to equip the reader with RaidMiner and Weka and Data Mining basics. There will be many examples and explanations that are straight to the point. You will be walked through data mining process from data preparation to data analysis (descriptive statistics) and data visualization to prediction modeling (machine learning) using Weka and RapidMiner. Content Covered: - Introduction (What is data science, what is data mining, CRISP DM Model, what is text mining, three types of analytics, big data) - Getting Started (INstall Weka and RapidMiner) - Prediction and Classification (Prediction and Classification) - Machine Learning Basics (Kmeans Clustering, Decision Tree, Naive Bayes, KNN, Neural Network) - Data Mining with Weka (Data Understanding using Weka, Data Preparation using Weka, Model Building and Evaluation using Weka) - Data Mining with RapidMiner (Data Understanding using RapidMiner, Data Preparation using RapidMiner, Model Building and Evaluation using RapidMiner) - Conclusion We will be using opensource tools, hence, you don't have to worry about buying any softwares. The book is designed for non-programmers only. It will gives you a head start into Weka and RapidMiner, with a touch on data mining. This book has been taught at Udemy and EMHAcademy.com. Use the following Coupon to get the Udemy Course at $11.99: https://www.udemy.com/data-mining-with-rapidminer/?couponCode=EBOOKSPECIAL https://www.udemy.com/learn-machine-learning-with-weka/?couponCode=EBOOKSPECIAL

Open Source Data Warehousing And Business Intelligence

Author : Lakshman Bulusu
ISBN : 9781466578760
Genre : Computers
File Size : 80. 83 MB
Format : PDF, Mobi
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Open Source Data Warehousing and Business Intelligence is an all-in-one reference for developing open source based data warehousing (DW) and business intelligence (BI) solutions that are business-centric, cross-customer viable, cross-functional, cross-technology based, and enterprise-wide. Considering the entire lifecycle of an open source DW &

Open Source Business Intelligence

Author : Nils Clausen
ISBN : 9783732206377
Genre : Technology & Engineering
File Size : 75. 16 MB
Format : PDF, ePub, Mobi
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This book presents an in-depth introduction to the characteristics and capabilities of two data-mining and business intelligence software packages: RapidMiner and the Jaspersoft Business Intelligence (BI) Suite.

Rapidminer Second Edition

Author : Markus Hofmann
ISBN : 1138197009
Genre :
File Size : 58. 86 MB
Format : PDF
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Written by leaders in the data mining community, including the developers of the RapidMiner software, this book provides an in-depth introduction to the application of data mining and business analytics techniques and tools in scientific research, medicine, industry, commerce, and diverse other sectors. It presents the most powerful and flexible open source software solutions: RapidMiner and RapidAnalytics. The new edition will update all chapters to RapidMiner 7, and will add at least six new chapters, including new chapters on text mining, time series, and educational data mining.

Predictive Analytics For Dummies

Author : Dr. Anasse Bari
ISBN : 9781118729410
Genre : Business & Economics
File Size : 33. 68 MB
Format : PDF, Docs
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Combine business sense, statistics, and computers in a new and intuitive way, thanks to Big Data Predictive analytics is a branch of data mining that helps predict probabilities and trends. Predictive Analytics For Dummies explores the power of predictive analytics and how you can use it to make valuable predictions for your business, or in fields such as advertising, fraud detection, politics, and others. This practical book does not bog you down with loads of mathematical or scientific theory, but instead helps you quickly see how to use the right algorithms and tools to collect and analyze data and apply it to make predictions. Topics include using structured and unstructured data, building models, creating a predictive analysis roadmap, setting realistic goals, budgeting, and much more. Shows readers how to use Big Data and data mining to discover patterns and make predictions for tech-savvy businesses Helps readers see how to shepherd predictive analytics projects through their companies Explains just enough of the science and math, but also focuses on practical issues such as protecting project budgets, making good presentations, and more Covers nuts-and-bolts topics including predictive analytics basics, using structured and unstructured data, data mining, and algorithms and techniques for analyzing data Also covers clustering, association, and statistical models; creating a predictive analytics roadmap; and applying predictions to the web, marketing, finance, health care, and elsewhere Propose, produce, and protect predictive analytics projects through your company with Predictive Analytics For Dummies.

Rapidminer Studio Manual

Author : RapidMiner Team
ISBN : 1519554400
Genre :
File Size : 33. 78 MB
Format : PDF, ePub, Docs
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User Manual for RapidMiner 6.5

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