Using Data Better

The major progress in computer vision allows us to make extensive use of medical imaging data to provide us better diagnosis, treatment and predication of diseases. Computer vision can exploit texture

1 Introduction2 Coordinate Systems3 Vector Data Model4 Raster Data Model5 GIS Data Acquisition6 Geometric Transformation7 Spatial Data Accuracy and Quality8 Attribute Data Management9 Data Display and

Practical Applications of Data Mining emphasizes both theory and applications of data mining algorithms. Various topics of data mining techniques are identified and described throughout, including clu

As an emerging discipline, data science broadly means different things across different areas. Exploring the relationship of data science with statistics, a well-established and principled data-analyt

Data uncertainty widely exists in many applications, and an uncertain data stream is a series of uncertain tuples that arrive rapidly. However, traditional techniques for deterministic data streams ca

Data uncertainty widely exists in many applications, and an uncertain data stream is a series of uncertain tuples that arrive rapidly. However, traditional techniques for deterministic data streams ca

Write Better : Letters, memos, faxes and emails

This comprehensive volume presents the foundations of linear algebra ideas and techniques applied to data mining and related fields. Linear algebra has gained increasing importance in data mining and

Better Business introduces the business content students need--in a better way. By presenting the material in a stimulating, conversational, question and answer format, the text encourages students to

本書序言Laboratory Manual for Principles of General Chemistry 11th Edition covers two semesters of a general chemistry laboratory program. The material focuses on the lab experiences that reinforce the concepts that not all experimental conclusions are the same and depend on identifying an appropriate experimental procedure, selecting the proper apparatus, employing the proper techniques, systematically analyzing and interpreting the data, and minimizing inherent variables. As a result of ""good"" data, a scientific and analytical conclusion is made which may or may not ""be right,"" but is certainly consistent with the data.Experiments write textbooks, textbooks don't write experiments.A student's scientific literacy grows when experiences and observations associated with the scientific method are encountered. Further experimentation provides additional ""cause & effect"" observations leading to an even better understanding of the experiment.The 11th edition's experiments are informat

While most data mining algorithms deal with static data, the seven papers in this collection address systems producing massive high-speed streams of ever-changing data generated by dynamic process

Data Mining for Business Intelligence, Second Edition uses real data and actual cases to illustrate the applicability of data mining (DM) intelligence in the development of successful business models

Taiwan Statistical Data Book 2017

This classic, best selling data structures text provides a firm foundation in data abstraction that emphasizes the distinction between specifications and implementation as the basis for an object-orie

Learn how to harness the power of delta-sigma data converters Understanding Delta-Sigma Data Converters brings readers a clear understanding of the principles of delta-sigma (DeltaSigma) converter

●NEW SECTION HIGHLIGHTS LEGAL AND ETHICAL ISSUES IN THE USE OF DATA AND ANALYTICS. Chapter 1 includes a new section that addresses common legal and ethical issues related to the use of data and analytics. This new legal and ethical section discusses recent data privacy laws as well as ethical issues that both practitioners and consumers of analytics models should consider.●PRACTICAL, RELEVANT PROBLEMS HELP STUDENTS MASTER CONCEPTS AND HANDS-ON SKILLS. Applications drawn from all functional business areas, including finance, marketing and operations, provide important practice at a variety of levels of difficulty. Time-saving data sets are available for most exercises and cases.●REVISED DATA MINING CHAPTERS OFFER CLEARER PRESENTATION OF CONCEPTS. The authors have reorganized and updated this edition's data mining chapters to ensure students thoroughly understand the presentation. The descriptive data mining chapter (Ch. 5) now appears after the probability chapter so that the data minin

Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. Th

Data Envelopment Analysis (DEA) is often overlooked in empirical work such as diagnostic tests to determine whether the data conform with technology which, in turn, is important in identifying technic

This book is designed for a data structures and algorithms course that uses Python. A key objective is to provide a "back to basics" approach to learning data structures and algorithms without overwh

New Edition of the Classic Data Structures Text!

The eighth edition of Multivariate Data Analysis provides an updated perspective on the analysis of all types of data as well as introducing some new perspectives and techniques that are foundational

This book comes up with estimates or decisions based on multiple data sources as opposed to more narrowly defined estimates or decisions based on single data sources. And as the world is awash with da

Generating data is the defining aspect of empirical work. Data in this respect is understood as information-capacitated material that must be discovered, mined, unearthed - or a near limitless range o

Incorporating an innovative focus on data visualization and time series forecasting,Data Mining for Business Intelligence, Third Edition continues to supply insightful, detailed guidance on fundamenta

This book teaches statistics in a modern, data-analytic approach that uses graphing calculators and statistical software. It allows more emphasis to be put on statistical concepts and data anal

Market Models provides an authoritative and up-to-date treatment of the use of market data to develop models for financial analysis. Written by a leading figure in the field of financial data analysi

Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining; it is the science of exploring large and complex bodies of data in order to discover

Research Ethics Committees, Data Protection and Medical Research in European Countries

The first book to present the common mathematical foundations of big data analysis across a range of applications and technologies.Today, the volume, velocity, and variety of data are increasing rapid

For courses in introductory statistics. The Art and Science of Learning from Data Statistics: The Art and Science of Learning from Data, Fourth Edition, takes a conceptual approach, helping students u

In order for the information society to realise its full potential, personal data has to be disclosed, used and often shared. This book explores the disclosure and sharing of data within the area of h

Big data has presented a number of opportunities across industries. With these opportunities come a number of challenges associated with handling, analyzing, and storing large data sets. One solution

This book comprehensively accounts the advances in data-based approaches for hydrologic modeling and forecasting. Eight major and most popular approaches are selected, with a chapter for each — stocha

「你將深度理解近代資料存取更加專業與獨立的原因，主要的 NoSQL 資料倉儲種類，以及 Spring Data 如何協助 Java 開發者在這個新環境之中更有效率的工作。」—Rod Johnson, Spring 框架創造者「轉而使用 Spring Batch 與 Spring Data，讓我們可以在增加可靠度的同時，徹底降低與 Hadoop 互動的複雜度。」—David Gevorkyan, e

With the advent of the Al era, professionals need to select the right tools to meet new opportunities and challenges! This instructional material focuses on the application of big data analysis, text mining, and machine learning in auditing to assist readers in understanding the latest developments in data analysis and smart audit.JCAATs is a new generation audit software developed by Python, which can be executed in a Windows and MAC operation systems with a multi-language, visual, and easy-to-use interface. Non-IT professionals can easily conduct smart data analysis. Through JCAATs' built-in data fusion technology and OPEN DATA connector, heterogeneous data can be quickly analyzed in real-time and effectively identifying anomalies. The features of this book include:The book is structured to provide a progressive learning experience, with chapters covering different concepts and applications, as well as exercises and practice questions. The official textbook endorsed by ICAEA

Chapter 1: Introduction to Business IntelligenceChapter 2: Data WarehousingChapter 3: Business Performance ManagementChapter 4: Data Mining for Business IntelligenceChapter 5: Text and Web MiningChapt