Author: Peter Buneman
Publisher: Assn for Computing Machinery
ISBN: 9780897915922
Category : Computer science
Languages : en
Pages : 566
Book Description
Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data
Author: Peter Buneman
Publisher: Assn for Computing Machinery
ISBN: 9780897915922
Category : Computer science
Languages : en
Pages : 566
Book Description
Publisher: Assn for Computing Machinery
ISBN: 9780897915922
Category : Computer science
Languages : en
Pages : 566
Book Description
Proceedings of the 1993 ACM SIGMOD, International Conference on Management of Data
Author: Peter Buneman
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
SIGMOD '93
Author:
Publisher:
ISBN:
Category : Database management
Languages : en
Pages : 566
Book Description
Publisher:
ISBN:
Category : Database management
Languages : en
Pages : 566
Book Description
Proceedings of ACM SIGMOD International Conference on Management of Data
Author: International Conference on Management of Data
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
Proceedings of the 1996 ACM SIGMOD International Conference on Management of Data
Author: H. V. Jagadish
Publisher: Association for Computing Machinery (ACM)
ISBN:
Category : Data base management
Languages : en
Pages : 900
Book Description
Publisher: Association for Computing Machinery (ACM)
ISBN:
Category : Data base management
Languages : en
Pages : 900
Book Description
Proceedings of Annual Meeting
Author: ACM-SIGMOD International Conference on Management of Data
Publisher:
ISBN:
Category : Database management
Languages : en
Pages :
Book Description
Publisher:
ISBN:
Category : Database management
Languages : en
Pages :
Book Description
Encyclopedia of Knowledge Management
Author: Schwartz, David
Publisher: IGI Global
ISBN: 1591405742
Category : Education
Languages : en
Pages : 945
Book Description
"This encyclopedia is a research reference work documenting the past, present, and possible future directions of knowledge management"--Provided by publisher.
Publisher: IGI Global
ISBN: 1591405742
Category : Education
Languages : en
Pages : 945
Book Description
"This encyclopedia is a research reference work documenting the past, present, and possible future directions of knowledge management"--Provided by publisher.
Business Applications and Computational Intelligence
Author: Kevin E. Voges
Publisher: IGI Global
ISBN: 1591407028
Category : Computers
Languages : en
Pages : 498
Book Description
"This book deals with the computational intelligence field, particularly business applications adopting computational intelligence techniques"--Provided by publisher.
Publisher: IGI Global
ISBN: 1591407028
Category : Computers
Languages : en
Pages : 498
Book Description
"This book deals with the computational intelligence field, particularly business applications adopting computational intelligence techniques"--Provided by publisher.
Comprehensive Geographic Information Systems
Author:
Publisher: Elsevier
ISBN: 0128047933
Category : Science
Languages : en
Pages : 1488
Book Description
Geographical Information Systems, Three Volume Set is a computer system used to capture, store, analyze and display information related to positions on the Earth’s surface. It has the ability to show multiple types of information on multiple geographical locations in a single map, enabling users to assess patterns and relationships between different information points, a crucial component for multiple aspects of modern life and industry. This 3-volumes reference provides an up-to date account of this growing discipline through in-depth reviews authored by leading experts in the field. VOLUME EDITORS Thomas J. Cova The University of Utah, Salt Lake City, UT, United States Ming-Hsiang Tsou San Diego State University, San Diego, CA, United States Georg Bareth University of Cologne, Cologne, Germany Chunqiao Song University of California, Los Angeles, CA, United States Yan Song University of North Carolina at Chapel Hill, Chapel Hill, NC, United States Kai Cao National University of Singapore, Singapore Elisabete A. Silva University of Cambridge, Cambridge, United Kingdom Covers a rapidly expanding discipline, providing readers with a detailed overview of all aspects of geographic information systems, principles and applications Emphasizes the practical, socioeconomic applications of GIS Provides readers with a reliable, one-stop comprehensive guide, saving them time in searching for the information they need from different sources
Publisher: Elsevier
ISBN: 0128047933
Category : Science
Languages : en
Pages : 1488
Book Description
Geographical Information Systems, Three Volume Set is a computer system used to capture, store, analyze and display information related to positions on the Earth’s surface. It has the ability to show multiple types of information on multiple geographical locations in a single map, enabling users to assess patterns and relationships between different information points, a crucial component for multiple aspects of modern life and industry. This 3-volumes reference provides an up-to date account of this growing discipline through in-depth reviews authored by leading experts in the field. VOLUME EDITORS Thomas J. Cova The University of Utah, Salt Lake City, UT, United States Ming-Hsiang Tsou San Diego State University, San Diego, CA, United States Georg Bareth University of Cologne, Cologne, Germany Chunqiao Song University of California, Los Angeles, CA, United States Yan Song University of North Carolina at Chapel Hill, Chapel Hill, NC, United States Kai Cao National University of Singapore, Singapore Elisabete A. Silva University of Cambridge, Cambridge, United Kingdom Covers a rapidly expanding discipline, providing readers with a detailed overview of all aspects of geographic information systems, principles and applications Emphasizes the practical, socioeconomic applications of GIS Provides readers with a reliable, one-stop comprehensive guide, saving them time in searching for the information they need from different sources
Predictive Analytics and Data Mining
Author: Vijay Kotu
Publisher: Morgan Kaufmann
ISBN: 0128016507
Category : Computers
Languages : en
Pages : 447
Book Description
Put Predictive Analytics into ActionLearn the basics of Predictive Analysis and Data Mining through an easy to understand conceptual framework and immediately practice the concepts learned using the open source RapidMiner tool. Whether you are brand new to Data Mining or working on your tenth project, this book will show you how to analyze data, uncover hidden patterns and relationships to aid important decisions and predictions. Data Mining has become an essential tool for any enterprise that collects, stores and processes data as part of its operations. This book is ideal for business users, data analysts, business analysts, business intelligence and data warehousing professionals and for anyone who wants to learn Data Mining.You’ll be able to:1. Gain the necessary knowledge of different data mining techniques, so that you can select the right technique for a given data problem and create a general purpose analytics process.2. Get up and running fast with more than two dozen commonly used powerful algorithms for predictive analytics using practical use cases.3. Implement a simple step-by-step process for predicting an outcome or discovering hidden relationships from the data using RapidMiner, an open source GUI based data mining tool Predictive analytics and Data Mining techniques covered: Exploratory Data Analysis, Visualization, Decision trees, Rule induction, k-Nearest Neighbors, Naïve Bayesian, Artificial Neural Networks, Support Vector machines, Ensemble models, Bagging, Boosting, Random Forests, Linear regression, Logistic regression, Association analysis using Apriori and FP Growth, K-Means clustering, Density based clustering, Self Organizing Maps, Text Mining, Time series forecasting, Anomaly detection and Feature selection. Implementation files can be downloaded from the book companion site at www.LearnPredictiveAnalytics.com Demystifies data mining concepts with easy to understand language Shows how to get up and running fast with 20 commonly used powerful techniques for predictive analysis Explains the process of using open source RapidMiner tools Discusses a simple 5 step process for implementing algorithms that can be used for performing predictive analytics Includes practical use cases and examples
Publisher: Morgan Kaufmann
ISBN: 0128016507
Category : Computers
Languages : en
Pages : 447
Book Description
Put Predictive Analytics into ActionLearn the basics of Predictive Analysis and Data Mining through an easy to understand conceptual framework and immediately practice the concepts learned using the open source RapidMiner tool. Whether you are brand new to Data Mining or working on your tenth project, this book will show you how to analyze data, uncover hidden patterns and relationships to aid important decisions and predictions. Data Mining has become an essential tool for any enterprise that collects, stores and processes data as part of its operations. This book is ideal for business users, data analysts, business analysts, business intelligence and data warehousing professionals and for anyone who wants to learn Data Mining.You’ll be able to:1. Gain the necessary knowledge of different data mining techniques, so that you can select the right technique for a given data problem and create a general purpose analytics process.2. Get up and running fast with more than two dozen commonly used powerful algorithms for predictive analytics using practical use cases.3. Implement a simple step-by-step process for predicting an outcome or discovering hidden relationships from the data using RapidMiner, an open source GUI based data mining tool Predictive analytics and Data Mining techniques covered: Exploratory Data Analysis, Visualization, Decision trees, Rule induction, k-Nearest Neighbors, Naïve Bayesian, Artificial Neural Networks, Support Vector machines, Ensemble models, Bagging, Boosting, Random Forests, Linear regression, Logistic regression, Association analysis using Apriori and FP Growth, K-Means clustering, Density based clustering, Self Organizing Maps, Text Mining, Time series forecasting, Anomaly detection and Feature selection. Implementation files can be downloaded from the book companion site at www.LearnPredictiveAnalytics.com Demystifies data mining concepts with easy to understand language Shows how to get up and running fast with 20 commonly used powerful techniques for predictive analysis Explains the process of using open source RapidMiner tools Discusses a simple 5 step process for implementing algorithms that can be used for performing predictive analytics Includes practical use cases and examples