This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the last few years, and their integration is currently an active research area. In general, data mining consists of extracting knowledge from data. The

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Data Structure Techniques (Addison-Wesley series in computer science)

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Data Flow 2: Design Graphique Et Visualisation D'Informations

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Data Analytics: An Introduction and Explanation into Predictive Analysis (How to Integrate Analytics into Your Business)

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Data Reduction and Error Analysis for the Physical Sciences

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Data Reduction and Error Analysis for the Physical Sciences Provides an introduction to the concepts of statistical analysis of data for students at undergraduate and graduate level. This text also provides tools for data reduction and error analysis commonly required in the physical sciences. It features a

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A-Data Machine Learners: Archaeology of a Data Practice (MIT Press)

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Data Structures Using C

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Data Modeling Theory and Practice

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: "Data modeling theory and practice" is for ractitioners and academics who have learned the conventions and rules of data modeling and are looking for a deeper understanding of the discipline. The coverage of "theory" includes a detailed review of the extensive literature on data modeling and logical

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Data Quality and its Impacts on Decision-Making: How Managers can benefit from Good Data (BestMasters)

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Christoph Samitsch investigates whether decision-making efficiency is being influenced by the quality of data and information. Results of the research provide evidence that defined data quality dimensions have an effect on decision-making performance as well as the time it takes to make a decision.

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A-Data How to Survive a Data Breach

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Data breaches are, for most organisations, a crushing blow to their customers and staff s confidence in them, to their reputation and brand value, and to the career prospects of senior executives. A data breach may be an even bigger calamity to the individuals whose data has been exposed to Internet criminals

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Data Management for Researchers (Research Skills)

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A comprehensive guide to everything scientists need to know about data management, this book is essential for researchers who need to learn how to organize, document and take care of their own data. Researchers in all disciplines are faced with the challenge of managing the growing amounts of digital data

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Data Construction and Data Analysis for Survey Research

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Data Construction and Data Analysis for Survey Research This text aims to provide an accessible and easy to follow guide to survey data analysis for marketing and social science students. It avoids the more usual statistics-driven approach, instead, a hand-holding approach embarking on research projects and

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Data Protection vs. Freedom of Information: Access and Personal Data

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The Freedom of Information Act (FOI) was a milestone in UK legislation and, for the first time, the lid was legally lifted on a lot of what the UK government was doing in the name of the citizens of the country. While the FOI applies only to public sector organisations, it covers a wide range of information.

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Data Warehousing, Data Mining, and OLAP

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Data Interpretation Made Easy: For Medical Students and Junior Doctors

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The ability to interpret and synthesise medical data is essential for doctors, yet it is a skill which can be difficult to master. Data Interpretation Made Easy focuses on developing this skill by presenting an array of case-based themes considering interpretation of blood results, X-rays, ECGs and CT images

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Data-Driven Numerical Modelling in Geodynamics: Methods and Applications (SpringerBriefs in Earth Sciences)

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Data Matching: Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection (Data-Centric Systems and Applications)

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Data matching (also known as record or data linkage, entity resolution, object identification, or field matching) is the task of identifying, matching and merging records that correspond to the same entities from several databases or even within one database. Based on research in various domains including

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Data Structures and Algorithms in Ruby

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Data Model Patterns: A Metadata Map (The Morgan Kaufmann Series in Data Management Systems)

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In recent years, companies and government agencies have come to realize that the data they use represent a significant corporate resource, whose cost calls for management every bit as rigorous as the management of human resources, money, and capital equipment. With this realization has come recognition of the

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Data Envelopment Analysis: A Handbook of Empirical Studies and Applications (International Series in Operations Research & Management Science)

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This handbook compiles state-of-the-art empirical studies and applications using Data Envelopment Analysis (DEA). It includes a collection of 18 chapters written by DEA experts. Chapter 1 examines the performance of CEOs of U.S. banks and thrifts. Chapter 2 describes the network operational structure of

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Data Management Using Stata: A Practical Handbook

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Data Management Using Stata Using illustrative examples, this book comprehensively covers data management tasks that bridge the gap between raw data and statistical analysis. Rather than focus on clusters of commands, it takes a modular approach that enables readers to quickly identify and implement the

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Data Science and Digital Business

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Data stream: Standard Requirements

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Data Structures and Algorithms Using C#

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Data Integration: Charting a Path Forward to 2035

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Data Mining in Time Series Databases (Series in Machine Perception & Artificial Intelligence: Vol. 57) (Series In Machine Perception And Artificial Intelligence)

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Adding the time dimension to real-world databases produces Time Series Databases (TSDB) and introduces new aspects and difficulties to data mining and knowledge discovery. This manual examines state-of-the-art methodology for mining time series databases. The novel data mining methods presented in the book

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Data Interleaving Techniques in Digital and Mobile Communication

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Data Structures and Algorithms in C++

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* The 2/e offers an innovative approach to data structures and algorithms by incorporating the object-oriented design paradigm using C++. * Takes highly visual approach and extensive suite of Web-based learning giving students the opportunity to see visual justifications of key analytic concepts.

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Data Validation and Certification Server: Standard Requirements

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Data Visualisation with R: 100 Examples

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Data Sources for Business and Market Analysis: 4th Ed.

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Data Integrity in Pharmaceutical and Medical Devices Regulation Operations: Best Practices Guide to Electronic Records Compliance

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Data Analysis with Small Samples and Non-Normal Data: Nonparametrics and Other Strategies (Pocket Guides to Social Work Research Methods)

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Data Analysis in Vegetation Ecology

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DATA BASED DECISION MAKING 2.0

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Data Hiding Techniques in Windows OS: A Practical Approach to Investigation and Defense

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A-Data Connected CRM: Implementing a Data-Driven, Customer-Centric Business Strategy

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Data offloading de la 3g vers le wi-fi outdoor (Omn.Univ.Europ.)

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Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro

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Data Security Breaches and Privacy in Europe (SpringerBriefs in Cybersecurity)

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Buhl Data Vollversion Buhl Data WISO Konto Online 2013 365 Tage 365 Tage

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Statistical Data Analysis (Oxford Science Publications)

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This book is a guide to the practical application of statistics in data analysis as typically encountered in the physical sciences. It is primarily addressed at students and professionals who need to draw quantitative conclusions from experimental data. Although most of the examples are taken from particle

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Big Data Applications and Use Cases (International Series on Computer Entertainment and Media Technology)

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Unstructured Data Analytics: How to Improve Customer Acquisition, Customer Retention, and Fraud Detection and Prevention

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Big Data: Does Size Matter? (Bloomsbury Sigma)

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Agile Data Science 2.0: Building Full-Stack Data Analytics Applications with Spark

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Digest of Data Collected Before the Year 1908, Relating to the Sanitary Condition of New York Harbor

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Shooting Data Log: Shooters Log

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Big Data Analytics Methods: Modern Analytics Techniques for the 21st Century: The Data Scientistâ€™s Manual to Data Mining, Deep Learning & Natural Language Processing

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Data Preparation for Data Mining (The Morgan Kaufmann Series in Data Management Systems)

Data Analytics: Practical Data Analysis and Statistical Guide to Transform and Evolve Any Business. Leveraging the Power of Data Analytics, Data Volume 2 (Hacking Freedom and Data Driven)

Data Structures and Other Objects Using C++: International Edition

Data Interpretation for Medical Students, Third Edition

The Data Librarianâ€™s Handbook

Data Mining And Knowledge Discovery With Evolutionary Algorithms (Natural Computing Series)

Data Structure Techniques (Addison-Wesley series in computer science)

Data Flow 2: Design Graphique Et Visualisation D'Informations

Data Analytics: An Introduction and Explanation into Predictive Analysis (How to Integrate Analytics into Your Business)

Data Reduction and Error Analysis for the Physical Sciences

A-Data Machine Learners: Archaeology of a Data Practice (MIT Press)

Data Structures Using C

Data Modeling Theory and Practice

Data Quality and its Impacts on Decision-Making: How Managers can benefit from Good Data (BestMasters)

A-Data How to Survive a Data Breach

Data Management for Researchers (Research Skills)

Data Construction and Data Analysis for Survey Research

Data Protection vs. Freedom of Information: Access and Personal Data

Data Warehousing, Data Mining, and OLAP

Data Interpretation Made Easy: For Medical Students and Junior Doctors

Data-Driven Numerical Modelling in Geodynamics: Methods and Applications (SpringerBriefs in Earth Sciences)

Data Matching: Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection (Data-Centric Systems and Applications)

Data Structures and Algorithms in Ruby

Data Model Patterns: A Metadata Map (The Morgan Kaufmann Series in Data Management Systems)

Data Envelopment Analysis: A Handbook of Empirical Studies and Applications (International Series in Operations Research & Management Science)

Data Management Using Stata: A Practical Handbook

Data Science and Digital Business

Data stream: Standard Requirements

Data Structures and Algorithms Using C#

Data Integration: Charting a Path Forward to 2035

Data Mining in Time Series Databases (Series in Machine Perception & Artificial Intelligence: Vol. 57) (Series In Machine Perception And Artificial Intelligence)

Data Interleaving Techniques in Digital and Mobile Communication

Data Structures and Algorithms in C++

Data Validation and Certification Server: Standard Requirements

Data Visualisation with R: 100 Examples

Data Sources for Business and Market Analysis: 4th Ed.

Data Integrity in Pharmaceutical and Medical Devices Regulation Operations: Best Practices Guide to Electronic Records Compliance

Data Analysis with Small Samples and Non-Normal Data: Nonparametrics and Other Strategies (Pocket Guides to Social Work Research Methods)

Data Analysis in Vegetation Ecology

DATA BASED DECISION MAKING 2.0

Data Hiding Techniques in Windows OS: A Practical Approach to Investigation and Defense

Data Analytics: The Ultimate Beginner's Guide to Data Analytics

Data Science For Dummies, 2nd Edition (For Dummies (Computers))

Data breach: Developer's Guide

A-Data Connected CRM: Implementing a Data-Driven, Customer-Centric Business Strategy

Data offloading de la 3g vers le wi-fi outdoor (Omn.Univ.Europ.)

Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro

Data Security Breaches and Privacy in Europe (SpringerBriefs in Cybersecurity)

Buhl Data Vollversion Vollversion Buhl Data Calories 2

Buhl Data Vollversion Buhl Data WISO Konto Online 2013 365 Tage 365 Tage

Buhl Data WISO BÃ¶rse 365 Basic [German Version]

Buhl Data WISO Steuer 2013 - box pack

Statistical Data Analysis (Oxford Science Publications)

Big Data Applications and Use Cases (International Series on Computer Entertainment and Media Technology)

Unstructured Data Analytics: How to Improve Customer Acquisition, Customer Retention, and Fraud Detection and Prevention

Big Data: Does Size Matter? (Bloomsbury Sigma)

Agile Data Science 2.0: Building Full-Stack Data Analytics Applications with Spark

Digest of Data Collected Before the Year 1908, Relating to the Sanitary Condition of New York Harbor

Shooting Data Log: Shooters Log

Big Data Analytics Methods: Modern Analytics Techniques for the 21st Century: The Data Scientistâ€™s Manual to Data Mining, Deep Learning & Natural Language Processing

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