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Handbook of Statistical Analysis and Data Mining Applications

Handbook of Statistical Analysis and Data Mining Applications
A Book

by Robert Nisbet,Gary Miner,Ken Yale

  • Publisher : Elsevier
  • Release : 2017-11-09
  • Pages : 822
  • ISBN : 0124166458
  • Language : En, Es, Fr & De
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Handbook of Statistical Analysis and Data Mining Applications, Second Edition, is a comprehensive professional reference book that guides business analysts, scientists, engineers and researchers, both academic and industrial, through all stages of data analysis, model building and implementation. The handbook helps users discern technical and business problems, understand the strengths and weaknesses of modern data mining algorithms and employ the right statistical methods for practical application. This book is an ideal reference for users who want to address massive and complex datasets with novel statistical approaches and be able to objectively evaluate analyses and solutions. It has clear, intuitive explanations of the principles and tools for solving problems using modern analytic techniques and discusses their application to real problems in ways accessible and beneficial to practitioners across several areas—from science and engineering, to medicine, academia and commerce. Includes input by practitioners for practitioners Includes tutorials in numerous fields of study that provide step-by-step instruction on how to use supplied tools to build models Contains practical advice from successful real-world implementations Brings together, in a single resource, all the information a beginner needs to understand the tools and issues in data mining to build successful data mining solutions Features clear, intuitive explanations of novel analytical tools and techniques, and their practical applications

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications
A Book

by Gary Miner

  • Publisher : Academic Press
  • Release : 2012
  • Pages : 1053
  • ISBN : 012386979X
  • Language : En, Es, Fr & De
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The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things that previously could not be done: spot business trends, prevent diseases, combat crime and so on. Managed well, the textual data can be used to unlock new sources of economic value, provide fresh insights into science and hold governments to account. As the Internet expands and our natural capacity to process the unstructured text that it contains diminishes, the value of text mining for information retrieval and search will increase dramatically. This comprehensive professional reference brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis. The Handbook of Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications presents a comprehensive how- to reference that shows the user how to conduct text mining and statistically analyze results. In addition to providing an in-depth examination of core text mining and link detection tools, methods and operations, the book examines advanced preprocessing techniques, knowledge representation considerations, and visualization approaches. Finally, the book explores current real-world, mission-critical applications of text mining and link detection using real world example tutorials in such varied fields as corporate, finance, business intelligence, genomics research, and counterterrorism activities. -Extensive case studies, most in a tutorial format, allow the reader to 'click through' the example using a software program, thus learning to conduct text mining analyses in the most rapid manner of learning possible -Numerous examples, tutorials, power points and datasets available via companion website on Elsevierdirect.com -Glossary of text mining terms provided in the appendix

Springer Handbook of Engineering Statistics

Springer Handbook of Engineering Statistics
A Book

by Hoang Pham

  • Publisher : Springer Science & Business Media
  • Release : 2006
  • Pages : 1120
  • ISBN : 1852338067
  • Language : En, Es, Fr & De
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In today’s global and highly competitive environment, continuous improvement in the processes and products of any field of engineering is essential for survival. This book gathers together the full range of statistical techniques required by engineers from all fields. It will assist them to gain sensible statistical feedback on how their processes or products are functioning and to give them realistic predictions of how these could be improved. The handbook will be essential reading for all engineers and engineering-connected managers who are serious about keeping their methods and products at the cutting edge of quality and competitiveness.

AMSTAT News

AMSTAT News
A Book

by American Statistical Association

  • Publisher : Unknown Publisher
  • Release : 2009
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Data Mining and Data Visualization

Data Mining and Data Visualization
A Book

by Anonim

  • Publisher : Elsevier
  • Release : 2005-05-02
  • Pages : 800
  • ISBN : 9780080459400
  • Language : En, Es, Fr & De
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Data Mining and Data Visualization focuses on dealing with large-scale data, a field commonly referred to as data mining. The book is divided into three sections. The first deals with an introduction to statistical aspects of data mining and machine learning and includes applications to text analysis, computer intrusion detection, and hiding of information in digital files. The second section focuses on a variety of statistical methodologies that have proven to be effective in data mining applications. These include clustering, classification, multivariate density estimation, tree-based methods, pattern recognition, outlier detection, genetic algorithms, and dimensionality reduction. The third section focuses on data visualization and covers issues of visualization of high-dimensional data, novel graphical techniques with a focus on human factors, interactive graphics, and data visualization using virtual reality. This book represents a thorough cross section of internationally renowned thinkers who are inventing methods for dealing with a new data paradigm. Distinguished contributors who are international experts in aspects of data mining Includes data mining approaches to non-numerical data mining including text data, Internet traffic data, and geographic data Highly topical discussions reflecting current thinking on contemporary technical issues, e.g. streaming data Discusses taxonomy of dataset sizes, computational complexity, and scalability usually ignored in most discussions Thorough discussion of data visualization issues blending statistical, human factors, and computational insights

Data Mining and Knowledge Discovery Handbook

Data Mining and Knowledge Discovery Handbook
A Book

by Oded Maimon,Lior Rokach

  • Publisher : Springer Science & Business Media
  • Release : 2006-05-28
  • Pages : 1383
  • ISBN : 038725465X
  • Language : En, Es, Fr & De
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Data Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository. This book first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. This volume concludes with in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security. Data Mining and Knowledge Discovery Handbook is designed for research scientists and graduate-level students in computer science and engineering. This book is also suitable for professionals in fields such as computing applications, information systems management, and strategic research management.

Statistics, Data Mining, and Machine Learning in Astronomy

Statistics, Data Mining, and Machine Learning in Astronomy
A Practical Python Guide for the Analysis of Survey Data

by Željko Ivezić,Andrew J. Connolly,Jacob T VanderPlas,Alexander Gray

  • Publisher : Princeton University Press
  • Release : 2014-01-12
  • Pages : 560
  • ISBN : 0691151687
  • Language : En, Es, Fr & De
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As telescopes, detectors, and computers grow ever more powerful, the volume of data at the disposal of astronomers and astrophysicists will enter the petabyte domain, providing accurate measurements for billions of celestial objects. This book provides a comprehensive and accessible introduction to the cutting-edge statistical methods needed to efficiently analyze complex data sets from astronomical surveys such as the Panoramic Survey Telescope and Rapid Response System, the Dark Energy Survey, and the upcoming Large Synoptic Survey Telescope. It serves as a practical handbook for graduate students and advanced undergraduates in physics and astronomy, and as an indispensable reference for researchers. Statistics, Data Mining, and Machine Learning in Astronomy presents a wealth of practical analysis problems, evaluates techniques for solving them, and explains how to use various approaches for different types and sizes of data sets. For all applications described in the book, Python code and example data sets are provided. The supporting data sets have been carefully selected from contemporary astronomical surveys (for example, the Sloan Digital Sky Survey) and are easy to download and use. The accompanying Python code is publicly available, well documented, and follows uniform coding standards. Together, the data sets and code enable readers to reproduce all the figures and examples, evaluate the methods, and adapt them to their own fields of interest. Describes the most useful statistical and data-mining methods for extracting knowledge from huge and complex astronomical data sets Features real-world data sets from contemporary astronomical surveys Uses a freely available Python codebase throughout Ideal for students and working astronomers

It's All Analytics!

It's All Analytics!
The Foundations of Al, Big Data and Data Science Landscape for Professionals in Healthcare, Business, and Government

by Scott Burk,Gary D. Miner

  • Publisher : CRC Press
  • Release : 2020-07-02
  • Pages : 272
  • ISBN : 100006722X
  • Language : En, Es, Fr & De
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It's All Analytics! The Foundations of AI, Big Data and Data Science Landscape for Professionals in Healthcare, Business, and Government (978-0-367-35968-3, 325690) Professionals are challenged each day by a changing landscape of technology and terminology. In recent history, especially in the last 25 years, there has been an explosion of terms and methods that automate and improve decision-making and operations. One term, "analytics," is an overarching description of a compilation of methodologies. But AI (artificial intelligence), statistics, decision science, and optimization, which have been around for decades, have resurged. Also, things like business intelligence, online analytical processing (OLAP) and many, many more have been born or reborn. How is someone to make sense of all this methodology and terminology? This book, the first in a series of three, provides a look at the foundations of artificial intelligence and analytics and why readers need an unbiased understanding of the subject. The authors include the basics such as algorithms, mental concepts, models, and paradigms in addition to the benefits of machine learning. The book also includes a chapter on data and the various forms of data. The authors wrap up this book with a look at the next frontiers such as applications and designing your environment for success, which segue into the topics of the next two books in the series.

Practical Predictive Analytics and Decisioning Systems for Medicine

Practical Predictive Analytics and Decisioning Systems for Medicine
Informatics Accuracy and Cost-Effectiveness for Healthcare Administration and Delivery Including Medical Research

by Linda Miner,Pat Bolding,Joseph Hilbe,Mitchell Goldstein,Thomas Hill,Robert Nisbet,Nephi Walton,Gary Miner

  • Publisher : Academic Press
  • Release : 2014-09-27
  • Pages : 1110
  • ISBN : 012411640X
  • Language : En, Es, Fr & De
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With the advent of electronic medical records years ago and the increasing capabilities of computers, our healthcare systems are sitting on growing mountains of data. Not only does the data grow from patient volume but the type of data we store is also growing exponentially. Practical Predictive Analytics and Decisioning Systems for Medicine provides research tools to analyze these large amounts of data and addresses some of the most pressing issues and challenges where data integrity is compromised: patient safety, patient communication, and patient information. Through the use of predictive analytic models and applications, this book is an invaluable resource to predict more accurate outcomes to help improve quality care in the healthcare and medical industries in the most cost–efficient manner. Practical Predictive Analytics and Decisioning Systems for Medicine provides the basics of predictive analytics for those new to the area and focuses on general philosophy and activities in the healthcare and medical system. It explains why predictive models are important, and how they can be applied to the predictive analysis process in order to solve real industry problems. Researchers need this valuable resource to improve data analysis skills and make more accurate and cost-effective decisions. Includes models and applications of predictive analytics why they are important and how they can be used in healthcare and medical research Provides real world step-by-step tutorials to help beginners understand how the predictive analytic processes works and to successfully do the computations Demonstrates methods to help sort through data to make better observations and allow you to make better predictions

Handbook of Educational Data Mining

Handbook of Educational Data Mining
A Book

by Cristobal Romero,Sebastian Ventura,Mykola Pechenizkiy,Ryan S.J.d. Baker

  • Publisher : CRC Press
  • Release : 2010-10-25
  • Pages : 535
  • ISBN : 9781439804582
  • Language : En, Es, Fr & De
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Handbook of Educational Data Mining (EDM) provides a thorough overview of the current state of knowledge in this area. The first part of the book includes nine surveys and tutorials on the principal data mining techniques that have been applied in education. The second part presents a set of 25 case studies that give a rich overview of the problems that EDM has addressed. Researchers at the Forefront of the Field Discuss Essential Topics and the Latest Advances With contributions by well-known researchers from a variety of fields, the book reflects the multidisciplinary nature of the EDM community. It brings the educational and data mining communities together, helping education experts understand what types of questions EDM can address and helping data miners understand what types of questions are important to educational design and educational decision making. Encouraging readers to integrate EDM into their research and practice, this timely handbook offers a broad, accessible treatment of essential EDM techniques and applications. It provides an excellent first step for newcomers to the EDM community and for active researchers to keep abreast of recent developments in the field.

Handbook of Big Data Analytics

Handbook of Big Data Analytics
A Book

by Wolfgang Karl Härdle,Henry Horng-Shing Lu,Xiaotong Shen

  • Publisher : Springer
  • Release : 2018-07-20
  • Pages : 538
  • ISBN : 3319182846
  • Language : En, Es, Fr & De
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Addressing a broad range of big data analytics in cross-disciplinary applications, this essential handbook focuses on the statistical prospects offered by recent developments in this field. To do so, it covers statistical methods for high-dimensional problems, algorithmic designs, computation tools, analysis flows and the software-hardware co-designs that are needed to support insightful discoveries from big data. The book is primarily intended for statisticians, computer experts, engineers and application developers interested in using big data analytics with statistics. Readers should have a solid background in statistics and computer science.

Handbook of Research on Big Data Storage and Visualization Techniques

Handbook of Research on Big Data Storage and Visualization Techniques
A Book

by Segall, Richard S.,Cook, Jeffrey S.

  • Publisher : IGI Global
  • Release : 2018-01-05
  • Pages : 917
  • ISBN : 1522531432
  • Language : En, Es, Fr & De
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The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. The Handbook of Research on Big Data Storage and Visualization Techniques is a critical scholarly resource that explores big data analytics and technologies and their role in developing a broad understanding of issues pertaining to the use of big data in multidisciplinary fields. Featuring coverage on a broad range of topics, such as architecture patterns, programing systems, and computational energy, this publication is geared towards professionals, researchers, and students seeking current research and application topics on the subject.

It's All Analytics - Part II

It's All Analytics - Part II
Designing an Integrated Ai, Analytics, and Data Science Architecture for Your Organization

by SCOTT. SWEENOR BURK (DAVID. MINER, GARY.),David Sweenor,Gary Miner

  • Publisher : Productivity Press
  • Release : 2021-09
  • Pages : 240
  • ISBN : 9780367359713
  • Language : En, Es, Fr & De
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Up to 70% and even more of corporate Analytics Efforts fail!!! Even after these corporations have made very large investments, in time, talent, and money, in developing what they thought were good data and analytics programs. Why? Because the executives and decision makers and the entire analytics team have not considered the most important aspect of making these analytics efforts successful. In this Book II of "It's All Analytics!" series, we describe two primary things: 1) What this "most important aspect" consists of, and 2) How to get this "most important aspect" at the center of the analytics effort and thus make your analytics program successful. This Book II in the series is divided into three main parts: Part I, Organizational Design for Success, discusses ....... The need for a complete company / organizational Alignment of the entire company and its analytics team for making its analytics successful. This means attention to the culture - the company culture culture!!! To be successful, the CEO's and Decision Makers of a company / organization must be fully cognizant of the cultural focus on 'establishing a center of excellence in analytics'. Simply, "culture - company culture" is the most important aspect of a successful analytics program. The focus must be on innovation, as this is needed by the analytics team to develop successful algorithms that will lead to greater company efficiency and increased profits. Part II, Data Design for Success, discusses ..... Data is the cornerstone of success with analytics. You can have the best analytics algorithms and models available, but if you do not have good data, efforts will at best be mediocre if not a complete failure. This Part II also goes further into data with descriptions of things like Volatile Data Memory Storage and Non-Volatile Data Memory Storage, in addition to things like data structures and data formats, plus considering things like Cluster Computing, Data Swamps, Muddy Data, Data Marts, Enterprise Data Warehouse, Data Reservoirs, and Analytic Sandboxes, and additionally Data Virtualization, Curated Data, Purchased Data, Nascent & Future Data, Supplemental Data, Meaningful Data, GIS (Geographic Information Systems) & Geo Analytics Data, Graph Databases, and Time Series Databases. Part II also considers Data Governance including Data Integrity, Data Security, Data Consistency, Data Confidence, Data Leakage, Data Distribution, and Data Literacy. Part III, Analytics Technology Design for Success, discusses .... Analytics Maturity and aspects of this maturity, like Exploratory Data Analysis, Data Preparation, Feature Engineering, Building Models, Model Evaluation, Model Selection, and Model Deployment. Part III also goes into the nuts and bolts of modern predictive analytics, discussing such terms as AI = Artificial Intelligence, Machine Learning, Deep Learning, and the more traditional aspects of analytics that feed into modern analytics like Statistics, Forecasting, Optimization, and Simulation. Part III also goes into how to Communicate and Act upon Analytics, which includes building a successful Analytics Culture within your company / organization. All-in-all, if your company or organization needs to be successful using analytics, this book will give you the basics of what you need to know to make it happen.

Visual Analytics and Interactive Technologies: Data, Text and Web Mining Applications

Visual Analytics and Interactive Technologies: Data, Text and Web Mining Applications
Data, Text and Web Mining Applications

by Zhang, Qingyu,Segall, Richard S.,Cao, Mei

  • Publisher : IGI Global
  • Release : 2010-10-31
  • Pages : 362
  • ISBN : 1609601041
  • Language : En, Es, Fr & De
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"This book is a comprehensive reference on concepts, algorithms, theories, applications, software, and visualization of data mining, text mining, Web mining and computing/supercomputing, covering state-of-the-art of the theory and applications of mining"--

HEALTHCARE's OUT SICK - PREDICTING A CURE - Solutions that WORK !!!!

HEALTHCARE's OUT SICK - PREDICTING A CURE - Solutions that WORK !!!!
Predictive Analytic Modeling, Decision Making, INNOVATIONS and Precision Medicine Necessary to Correct the Broken Healthcare Delivery System

by Gary D. Miner,Linda Miner,Darrell L. Dean

  • Publisher : CRC Press
  • Release : 2019-01-04
  • Pages : 280
  • ISBN : 042901581X
  • Language : En, Es, Fr & De
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The U.S. healthcare system is in "complete chaos-disarray." Medical costs have increased significantly over the past 6 years with 70% increase for deductibles and 24% or more for health insurance premiums. All the while, workers earnings have either not increased or if they did, the pay raises were for less than the increase in the cost of medical care. The situation is unsustainable and the public wants the system fixed. This book offers ways of fixing the problems in healthcare. HEALTHCARE's OUT SICK - PREDICTING A CURE - Solutions that WORK !!!! first defines the "healthcare in crisis" problem. Through real patient experiences, the book describes the difficulties of getting through the maze of complexity among the plethora of "silo providers" which make up the industry. The heart of the book provides readers with a comprehensive solution that can work, a disruption that is necessary to provide Americans the medical care they need without the US public and healthcare providers and payors going into bankruptcy, insolvency or closure. This book delves into digitized medicine, payor and provider reimbursement models, and value-based healthcare delivery. It also includes a philosophy or mode of thinking and operation for the solutions that are needed for diagnosis-effective, cost-effective, and time-efficient healthcare delivery, of which digitized medicine, value-based care, and payor reimbursement modes are just some of the factors. The authors propose that the real solution involves having the patient at the center of the issues and changing from an archaic gold standard way of thinking to a "Predictive Analytic thinking" where one gets at the real truth by doing "real science" that in the end becomes effective not only for the population but for the individual person. This all leads to real person-centered and person-directed medicine and healthcare delivery.

CBI European Business Handbook

CBI European Business Handbook
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 1999
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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A Handbook of Information Technology

A Handbook of Information Technology
A Book

by Bubu Bhuyan

  • Publisher : Unknown Publisher
  • Release : 2007
  • Pages : 830
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Information technology (IT) can be collectively described as that used by man to gather, store and retrieve, manipulate and communicate data and information. Today , in the 'Information Age', this takes place over and across vast geographical, demographical, socio-political and economic scopes, and the ceasing of it will choke society, as know it today, to a pre-historic standstill. It is, understandably implemented through various aspects of computing and Electronic Technology. With the growing complexity of the information processing needs throughout fields as diverse as business, science, technology, exploration and entertainment, several issues involving data security, time complexity. Bandwidth and thought put, parallel and alternative computing technology and the technology used in an ever-increasing band of newer types of devices, are posing the most crucial questions to the future of society in general and IT in particular. The book is a collection of articles written by professors, industry persons and researchers if international repute and comprises the latest breakthrough sin the fields of Information Theory and Coding, Information Security, Next Generation Internet technology, Data Mining and Knowledge Management, Mobile Computing and Communication. Bioinformatics, Soft Computing, Multimedia Systems and Communication, Quantum Computing, Image Processing and other areas which together comprise IT. This book is a must read for those seeking to expand their knowledge about various aspects of Information Technology.

Proceedings of the ... SIAM International Conference on Data Mining

Proceedings of the ... SIAM International Conference on Data Mining
A Book

by Anonim

  • Publisher : Unknown Publisher
  • Release : 2005
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Choice

Choice
Publication of the Association of College and Research Libraries, a Division of the American Library Association

by Anonim

  • Publisher : Unknown Publisher
  • Release : 2008
  • Pages : 329
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Handbook of Informatics for Nurses and Health Care Professionals

Handbook of Informatics for Nurses and Health Care Professionals
A Book

by Toni Hebda,Patricia Czar,Cynthia Mascara

  • Publisher : Prentice Hall
  • Release : 2005
  • Pages : 464
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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"Handbook of Informatics for Nurses & Health Care Professionals" is an introduction to the computer technology used by nurses & other health care professionals. Offering an overview of informatics, as well as practical information for day-to day use, this book includes: Expanded coverage of mobile computing and PDAs. Web-based technology, search tools, and evaluation criteria for online material. Various forms of electronic communication and ways to use it more effectively. The role of strategic planning in information management and system design and implementation. The development and use of the Electronic Medical Record (EMR). Regulatory and accreditation requirements, such as HIPAA. Disaster planning and recovery chapter with specific measures for the protection and back-up of information. A definition of telehealth as well as some of its applications and related issues. Applications of computer-based education for professionals and consumers.