Exploring Data with RapidMiner
Book Details:
Publisher: | Packt Publishing |
Series: |
Packt
|
Author: | Andrew Chisholm |
Edition: | 1 |
ISBN-10: | 1782169334 |
ISBN-13: | 9781782169338 |
Pages: | 162 |
Published: | Nov 25 2013 |
Posted: | Nov 19 2014 |
Language: | English |
Book format: | PDF |
Book size: | 5.06 MB |
Book Description:
Explore, understand, and prepare real data using RapidMiner's practical tips and tricks Overview See how to import, parse, and structure your data quickly and effectively Understand the visualization possibilities and be inspired to use these with your own data Structured in a modular way to adhere to standard industry processes In Detail Data is everywhere and the amount is increasing so much that the gap between what people can understand and what is available is widening relentlessly. There is a huge value in data, but much of this value lies untapped. 80% of data mining is about understanding data, exploring it, cleaning it, and structuring it so that it can be mined. RapidMiner is an environment for machine learning, data mining, text mining, predictive analytics, and business analytics. It is used for research, education, training, rapid prototyping, application development, and industrial applications. Exploring Data with RapidMiner is packed with practical examples to help practitioners get to grips with their own data. The chapters within this book are arranged within an overall framework and can additionally be consulted on an ad-hoc basis. It provides simple to intermediate examples showing modeling, visualization, and more using RapidMiner. Exploring Data with RapidMiner is a helpful guide that presents the important steps in a logical order. This book starts with importing data and then lead you through cleaning, handling missing values, visualizing, and extracting additional information, as well as understanding the time constraints that real data places on getting a result. The book uses real examples to help you understand how to set up processes, quickly.. This book will give you a solid understanding of the possibilities that RapidMiner gives for exploring data and you will be inspired to use it for your own work. What you will learn from this book Import real data from files in multiple formats and from databases Extract features from structured and unstructured data Restructure, reduce, and summarize data to help you understand it more easily and process it more quickly Visualize data in new ways to help you understand it Detect outliers and methods to handle them Detect missing data and implement ways to handle it Understand resource constraints and what to do about them Approach A step-by-step tutorial style using examples so that users of different levels will benefit from the facilities offered by RapidMiner. Who this book is written for 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.
Go beyond spreadsheets and tables and design a data presentation that really makes an impact. This practical guide shows you how to use Tableau Software to convert raw data into compelling data visualizations that provide insight or allow viewers to explore the data for themselves.Ideal for analysts, engineers, marketers, journalists, and researchers, this book describes the principles of communicating data and takes you on an in-depth tour of common visualization methods. You'll learn how to craft articulate and creative data visualizations with Tableau Desktop 8.1 and Tableau Public 8.1.Present comparisons of how much and how manyUse blended data sources to create ratios and ratesCreate charts to depict proportions and percentagesVisualize measures...
Learn exciting new ways to build efficient, high performance enterprise search repositories for Big Data using Hadoop and Solr Overview Understand the different approaches of making Solr work on Big Data as well as the benefits and drawbacks Learn from interesting, real-life use cases for Big Data search along with sample code Work with the Distributed Enterprise Search without prior knowledge of Hadoop and Solr In Detail As data grows exponentially day-by-day, extracting information becomes a tedious activity in itself. Technologies like Hadoop are trying to address some of the concerns, while Solr provides high-speed faceted search. Bringing these two technologies together is helping organizations resolve the problem of information extraction fro...
With R and Ruby
If you're curious about how things work, this fun and intriguing guide will help you find real answers to everyday problems. By using fundamental math and doing simple programming with the Ruby and R languages, you'll learn how to model a problem and work toward a solution. All you need is a basic understanding of programming. After a quick introduction to Ruby and R, you'll explore a wide range of questions by learning how to assemble, process, simulate, and analyze the available data. You'll learn to see everyday things in a different perspective through simple programs and common sense logic. Once you finish this book, you can begin your own journey of exploration and discovery. Here are some of the questions you'll explore: Determine how many res...
2007 - 2021 © eBooks-IT.org