Last edited by Zulubar
Tuesday, August 4, 2020 | History

9 edition of Business Modeling and Data Mining (The Morgan Kaufmann Series in Data Management Systems) found in the catalog.

Business Modeling and Data Mining (The Morgan Kaufmann Series in Data Management Systems)

by Dorian Pyle

  • 7 Want to read
  • 25 Currently reading

Published by Morgan Kaufmann .
Written in English

    Subjects:
  • Business & Management,
  • Data capture & analysis,
  • Databases & data structures,
  • Management,
  • Data processing,
  • Database Engineering,
  • Computers,
  • Computers - Data Base Management,
  • General,
  • Computer Books: Database,
  • Database management,
  • Data Modeling & Design,
  • Database Management - General,
  • Computers / Data Modeling & Design,
  • Business,
  • Data mining

  • The Physical Object
    FormatPaperback
    Number of Pages650
    ID Numbers
    Open LibraryOL8606532M
    ISBN 10155860653X
    ISBN 109781558606531

    Data mining serves two primary roles in your business intelligence mission: The “Tell me what might happen” role: The first role of data mining is predictive, in which you basically say, “Tell me what might happen.”Using hidden knowledge locked away in your data warehouse, probabilities and the likelihood of future trends and occurrences are ferreted out and presented to you. Book Description. Master business modeling and analysis techniques with Microsoft Excel , and transform data into bottom-line results. Written by award-winning educator Wayne Winston, this hands on, scenario-focused guide helps you use Excel’s newest tools to ask the right questions and get accurate, actionable answers.

    Data Modeling Can Require Some Data Analysis. Here’s where it gets tricky. Data modeling requires a little bit of data analysis. In order to say this field is going to map to this field in a systems integration project, you probably need to look at the data and understand how the data is put together. Data Mining and Business Intelligence: A Guide to Productivity provides an overview of data mining technology and how it is applied in a business environment. It describes the corresponding data mining methodologies that are used to solve a variety of business problems which enhance firm-level efficiency in a less technical, more managerial style.

    The book focuses on demonstrating common business data mining applications. It provides exposure to the data mining process, to include problem identification, data management, and available modeling tools. The book takes the approach of demonstrating typical business data . This book fills the need for a concise and accessible book on the topic of Business Intelligence and Data Mining. It is a conversational book that feels easy and informative. This short and lucid book covers everything important, with concrete examples, and invites the reader to join this field/5.


Share this book
You might also like
Concept of peace in Christian scriptures.

Concept of peace in Christian scriptures.

United Nations

United Nations

Disability, community and society

Disability, community and society

Man of two worlds

Man of two worlds

RACER # 3494318 (Vol. 1, 2, 3, 4, 5)

RACER # 3494318 (Vol. 1, 2, 3, 4, 5)

Great Grilling & Casual Cookouts

Great Grilling & Casual Cookouts

Crustal structure in Western Canada

Crustal structure in Western Canada

Rights, politics, and economics

Rights, politics, and economics

Impact evaluation of media campaign of population welfare program

Impact evaluation of media campaign of population welfare program

Lunar pre-test

Lunar pre-test

Metaphysics in the post-metaphysical age

Metaphysics in the post-metaphysical age

Daffodil Anne

Daffodil Anne

Congress shall make no law

Congress shall make no law

Your guide to the Alexander technique

Your guide to the Alexander technique

annotated bibliography on rural medical care

annotated bibliography on rural medical care

Assembly of First Nations/National Indian Brotherhood

Assembly of First Nations/National Indian Brotherhood

The disappearance of darkness

The disappearance of darkness

Business Modeling and Data Mining (The Morgan Kaufmann Series in Data Management Systems) by Dorian Pyle Download PDF EPUB FB2

The concepts and techniques presented in this book are the essential building blocks in understanding what models are and how they can be used practically to reveal hidden assumptions and needs, determine problems, discover data, determine costs, and explore the whole domain of the problem.

Business Modeling and Data Mining demonstrates how. Business Modeling and Data Mining demonstrates how real world business problems can be formulated so that data mining can answer them.

The concepts and techniques presented in this book are the essential building blocks in understanding what models are and how they can be used practically to reveal hidden assumptions and needs, determine problems, discover data, determine costs, and Cited by: Business Modeling and Data Mining demonstrates how real world business problems can be formulated so that data mining can answer them.

The concepts and techniques presented in this book are the essential building blocks in understanding what models are and how they can be used practically to reveal hidden assumptions and needs, determine problems, discover data, determine costs, and. Business Modeling and Data Mining [Dorian Pyle] on *FREE* shipping on qualifying offers.

Business Modeling and Data Mining/5(5). 15 Best Data Mining Books To Learn Data Mining Introduction to Data Mining by Tan, Steinbach & Kumar Basically, this book is a very good introduction book for data mining. An Introduction to Statistical Learning: with Applications in R by Gareth James & Daniela Witten Overview of statistical learning based on large datasets of information.

Data Science for Business: What you need to know about data mining and data-analytic thinking by Foster Provost & Tom Fawcett Generally, an introduction to data science principles and More items. Data Mining and Business Analytics with R is an excellent graduate-level textbook for courses on data mining and business analytics.

The book is also a valuable reference for practitioners who collect and analyze data in the fields of finance, operations management, marketing, and the information sciences. First book on process mining, bridging the gap between business process modeling and business intelligence and positioning process mining within the rapidly growing data science discipline This second edition includes over pages of new material, e.g.

on data quality, the relation to data science, inductive mining techniques and the notion. Business Modeling and Data Mining demonstrates how real world business problems can be formulated so that data mining can answer them.

The concepts and techniques presented in this book are the essential building blocks in understanding what models are and how they can be used practically to reveal hidden assumptions and needs, determine problems, discover data, determine costs, and /5(12).

Expert author David Nettleton guides you through the process from beginning to end and covers everything from business objectives to data sources, and selection to analysis and predictive modeling. Commercial Data Mining includes case studies and practical examples from Nettleton's more than 20 years of commercial experience.

Real-world cases. Business Modeling and Data Mining demonstrates how real world business problems can be formulated so that data mining can answer them. The concepts and techniques presented in this book are the essential building blocks in understanding what models are and how they can be used practically to reveal hidden assumptions and needs, determine problems, discover data, determine costs, and 5/5(1).

The world, knowledge, and models --Translating experience --Modeling and mining: putting it together --Framing business models --Getting the right model --Getting the model right --Deploying the model --Getting started --What mining tools do --Getting the initial model: basic practices of data mining --Improving the model --Deploying the.

Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal to extract information (with intelligent methods) from a data set and transform the information into a comprehensible structure for.

The book completes the process by illustrating how these findings from data mining can be turned into strategic or tactical implementations. Teaches how to discover, construct and refine models that are useful in business situations Teaches how to design, discover and develop the data necessary for mining Provides.

Prescriptive Modeling: With the growth in unstructured data from the web, comment fields, books, email, PDFs, audio and other text sources, the adoption of text mining as a related discipline to data mining has also grown need the ability to successfully parse, filter and transform unstructured data in order to include it in predictive models for improved prediction accuracy.

Data mining is looking for hidden, valid, and potentially useful patterns in huge data sets. Data Mining is all about discovering unsuspected/ previously unknown relationships amongst the data.

It is a multi-disciplinary skill that uses machine learning, statistics, AI and database technology. The insights derived via Data Mining can be used. Data Modeling vs. Data Mining. Data modeling refers to a group of processes in which multiple sets of data are combined and analyzed to uncover relationships or patterns.

The goal of data modeling is to use past data to inform future efforts. Data mining is a step in the data modeling process. Business Modeling and Data Mining demonstrates how real world business problems can be formulated so that data mining can answer them.

The concepts and techniques presented in this book are the essential building blocks in understanding what models are and how they can be used practically to reveal hidden assumptions and needs, determine problems, discover data, determine costs, and Price: $ "Data mining is a process that uses a variety of data analysis tools to discover patterns and relationships in data that may be used to make valid predictions," Edelstein writes in the book.

Data. First book on process mining, bridging the gap between business process modeling and business intelligence and positioning process mining within the rapidly growing data science discipline This second edition includes over pages of new material, e.g.

on data quality, the relation to data science, inductive mining techniques and the notion Brand: Springer-Verlag Berlin Heidelberg. Data Mining for Business Analytics: Concepts, Techniques, and Applications in XLMiner®, Third Edition is an ideal textbook for upper-undergraduate and graduate-level courses as well as professional programs on data mining, predictive modeling, and Big Data analytics.

The new edition is also a unique reference for analysts, researchers, and. Data Mining and Business Analytics with R is an excellent graduate-diploma textbook for packages on data mining and business analytics. The book can be a invaluable reference for practitioners who purchase and analyze data inside the fields of finance, operations administration, promoting, and the information sciences.Now in its fifth edition, Powell and Baker’s Business Analytics: The Art of Modeling with Spreadsheets provides students and business analysts with the technical knowledge and skill needed to develop real expertise in business this book, the authors cover spreadsheet engineering, management science, and the modeling craft.Nonetheless, modeling to address specific business goals is the heart of the data-mining profession.

Deliverables for this task include three items: Parameter settings: When building models, most tools give you the option of adjusting a variety of settings, and these settings have an .