Descriptive Data Mining
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Descriptive Data Mining
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Author : David L. Olson
language : en
Publisher: Springer
Release Date : 2016-12-09
Descriptive Data Mining written by David L. Olson and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-09 with Business & Economics categories.
This book offers an overview of knowledge management. It starts with an introduction to the subject, placing descriptive models in the context of the overall field as well as within the more specific field of data mining analysis. Chapter 2 covers data visualization, including directions for accessing R open source software (described through Rattle). Both R and Rattle are free to students. Chapter 3 then describes market basket analysis, comparing it with more advanced models, and addresses the concept of lift. Subsequently, Chapter 4 describes smarketing RFM models and compares it with more advanced predictive models. Next, Chapter 5 describes association rules, including the APriori algorithm and provides software support from R. Chapter 6 covers cluster analysis, including software support from R (Rattle), KNIME, and WEKA, all of which are open source. Chapter 7 goes on to describe link analysis, social network metrics, and open source NodeXL software, and demonstrates link analysis application using PolyAnalyst output. Chapter 8 concludes the monograph. Using business-related data to demonstrate models, this descriptive book explains how methods work with some citations, but without detailed references. The data sets and software selected are widely available and can easily be accessed.
Predictive Data Mining Models
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Author : David L. Olson
language : en
Publisher: Springer
Release Date : 2019-08-07
Predictive Data Mining Models written by David L. Olson and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-07 with Business & Economics categories.
This book provides an overview of predictive methods demonstrated by open source software modeling with Rattle (R’) and WEKA. Knowledge management involves application of human knowledge (epistemology) with the technological advances of our current society (computer systems) and big data, both in terms of collecting data and in analyzing it. We see three types of analytic tools. Descriptive analytics focus on reports of what has happened. Predictive analytics extend statistical and/or artificial intelligence to provide forecasting capability. It also includes classification modeling. Prescriptive analytics applies quantitative models to optimize systems, or at least to identify improved systems. Data mining includes descriptive and predictive modeling. Operations research includes all three. This book focuses on prescriptive analytics. The book seeks to provide simple explanations and demonstration of some descriptive tools. This second edition provides more examples of big data impact, updates the content on visualization, clarifies some points, and expands coverage of association rules and cluster analysis. Chapter 1 gives an overview in the context of knowledge management. Chapter 2 discusses some basic data types. Chapter 3 covers fundamentals time series modeling tools, and Chapter 4 provides demonstration of multiple regression modeling. Chapter 5 demonstrates regression tree modeling. Chapter 6 presents autoregressive/integrated/moving average models, as well as GARCH models. Chapter 7 covers the set of data mining tools used in classification, to include special variants support vector machines, random forests, and boosting. Models are demonstrated using business related data. The style of the book is intended to be descriptive, seeking to explain how methods work, with some citations, but without deep scholarly reference. The data sets and software are all selected for widespread availability and access by any reader with computer links.
Data Mining Models
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Author : Ravi Deshpande
language : en
Publisher: Educohack Press
Release Date : 2025-02-20
Data Mining Models written by Ravi Deshpande and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-20 with Business & Economics categories.
In today's tech industry, big data is the biggest buzz. Have you ever wondered how platforms like Facebook and Twitter handle millions of user data seamlessly? This book unveils the secrets behind those techniques. We explore data mining models and techniques, weighing their pros and cons to determine the best-suited model for efficient data processing. This comprehensive guide provides detailed insights into data mining processes, enhanced with hands-on coding examples to offer an exclusive learning experience. Delve into the world of data and uncover the mechanisms that power modern technology!
High Performance Parallel Database Processing And Grid Databases
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Author : David Taniar
language : en
Publisher: John Wiley & Sons
Release Date : 2008-10-13
High Performance Parallel Database Processing And Grid Databases written by David Taniar and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-10-13 with Computers categories.
The latest techniques and principles of parallel and grid database processing The growth in grid databases, coupled with the utility of parallel query processing, presents an important opportunity to understand and utilize high-performance parallel database processing within a major database management system (DBMS). This important new book provides readers with a fundamental understanding of parallelism in data-intensive applications, and demonstrates how to develop faster capabilities to support them. It presents a balanced treatment of the theoretical and practical aspects of high-performance databases to demonstrate how parallel query is executed in a DBMS, including concepts, algorithms, analytical models, and grid transactions. High-Performance Parallel Database Processing and Grid Databases serves as a valuable resource for researchers working in parallel databases and for practitioners interested in building a high-performance database. It is also a much-needed, self-contained textbook for database courses at the advanced undergraduate and graduate levels.
Data Mining A Search For Knowledge
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Author : Mohamed Rahama
language : en
Publisher: GRIN Verlag
Release Date : 2012-10-23
Data Mining A Search For Knowledge written by Mohamed Rahama and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-23 with Computers categories.
Essay from the year 2012 in the subject Computer Science - Theory, grade: B, ( Atlantic International University ) (School of Science and Engineering), course: Doctorate in Information Technology, language: English, abstract: Data mining is an independent science that based on advanced ways for information retrieval. Data mining is dealing with knowledge discovery in data warehouses without predefined hypotheses. So it is quite different from other applications such as decision support systems, OLAP and others which are looking for information on the factors and assumptions that we know it in advance. Data Mining supports multiple algorithms which have the ability to adopt automatic classification of historical data and predict future events. Data mining in the databases is designed to extract the hidden information, and it is a modern technology that imposed itself strongly in the information revolution, in the light of the great technological development and widespread use of data warehouses. Data mining techniques focus on building future forecasts and explore the behavior and trends, allowing a good estimation for right decisions that taken in a timely manner. This paper provides a general definition of data mining science and its most important techniques and algorithms used.
Maintenance Engineering Handbook Ninth Edition
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Author : Keith Mobley
language : en
Publisher: McGraw Hill Professional
Release Date : 2025-08-22
Maintenance Engineering Handbook Ninth Edition written by Keith Mobley and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-22 with Technology & Engineering categories.
The most complete and current guide to every aspect of maintenance engineering—updated to reflect the latest advances in the industry The most comprehensive resource of its kind, Maintenance Engineering Handbook has long been a staple for engineers, managers, and technicians seeking current advice on everything from tools and techniques to planning and scheduling. Since the last edition was published, there have been exponential technology advancements that directly affect maintenance and maintenance engineering function. Recent changes in technology, especially those of predictive analytics, wireless-cloud-base data acquisition, and smart sensors have radically changed the landscape of both engineering and maintenance management. This updated edition integrates these advances into a comprehensive approach to maintenance management with proven best practices for maintenance, repair, and overhaul (MRO), inventory management, root-cause analysis, and performance management. Featuring contributions from noted experts in the field, Maintenance Engineering Handbook, Ninth Edition will help engineers reduce excessive downtime and high maintenance costs by detecting and mitigating repetitive failures.
Data Mining And Predictive Analytics For Business Decisions
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Author : Andres Fortino
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2023-02-13
Data Mining And Predictive Analytics For Business Decisions written by Andres Fortino and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-13 with Computers categories.
With many recent advances in data science, we have many more tools and techniques available for data analysts to extract information from data sets. This book will assist data analysts to move up from simple tools such as Excel for descriptive analytics to answer more sophisticated questions using machine learning. Most of the exercises use R and Python, but rather than focus on coding algorithms, the book employs interactive interfaces to these tools to perform the analysis. Using the CRISP-DM data mining standard, the early chapters cover conducting the preparatory steps in data mining: translating business information needs into framed analytical questions and data preparation. The Jamovi and the JASP interfaces are used with R and the Orange3 data mining interface with Python. Where appropriate, Voyant and other open-source programs are used for text analytics. The techniques covered in this book range from basic descriptive statistics, such as summarization and tabulation, to more sophisticated predictive techniques, such as linear and logistic regression, clustering, classification, and text analytics. Includes companion files with case study files, solution spreadsheets, data sets and charts, etc. from the book. Features: Covers basic descriptive statistics, such as summarization and tabulation, to more sophisticated predictive techniques, such as linear and logistic regression, clustering, classification, and text analytics Uses R, Python, Jamovi and JASP interfaces, and the Orange3 data mining interface Includes companion files with the case study files from the book, solution spreadsheets, data sets, etc.
Handbook Of Research On Innovations In Database Technologies And Applications
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Author : Viviana E. Ferraggine
language : en
Publisher: IGI Global
Release Date : 2009-01-01
Handbook Of Research On Innovations In Database Technologies And Applications written by Viviana E. Ferraggine and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-01-01 with Computers categories.
"This book provides a wide compendium of references to topics in the field of the databases systems and applications"--Provided by publisher.
Proceedings Of Acm Symposium On Access Control Models And Technologies
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Author :
language : en
Publisher:
Release Date : 2003
Proceedings Of Acm Symposium On Access Control Models And Technologies written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Computers categories.
Supervised Descriptive Pattern Mining
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Author : Sebastián Ventura
language : en
Publisher: Springer
Release Date : 2018-10-05
Supervised Descriptive Pattern Mining written by Sebastián Ventura and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-05 with Computers categories.
This book provides a general and comprehensible overview of supervised descriptive pattern mining, considering classic algorithms and those based on heuristics. It provides some formal definitions and a general idea about patterns, pattern mining, the usefulness of patterns in the knowledge discovery process, as well as a brief summary on the tasks related to supervised descriptive pattern mining. It also includes a detailed description on the tasks usually grouped under the term supervised descriptive pattern mining: subgroups discovery, contrast sets and emerging patterns. Additionally, this book includes two tasks, class association rules and exceptional models, that are also considered within this field. A major feature of this book is that it provides a general overview (formal definitions and algorithms) of all the tasks included under the term supervised descriptive pattern mining. It considers the analysis of different algorithms either based on heuristics or based on exhaustive search methodologies for any of these tasks. This book also illustrates how important these techniques are in different fields, a set of real-world applications are described. Last but not least, some related tasks are also considered and analyzed. The final aim of this book is to provide a general review of the supervised descriptive pattern mining field, describing its tasks, its algorithms, its applications, and related tasks (those that share some common features). This book targets developers, engineers and computer scientists aiming to apply classic and heuristic-based algorithms to solve different kinds of pattern mining problems and apply them to real issues. Students and researchers working in this field, can use this comprehensive book (which includes its methods and tools) as a secondary textbook.