Strategic Advancements in Utilizing Data Mining and Warehousing Technologies: New Concepts and Developments

Strategic Advancements in Utilizing Data Mining and Warehousing Technologies: New Concepts and Developments PDF Author: Taniar, David
Publisher: IGI Global
ISBN: 1605667188
Category : Computers
Languages : en
Pages : 448

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Book Description
"This book presents and disseminates new concepts and developments in the areas of data warehousing and data mining, in particular on the research trends shaped during the last few years"--Provided by publisher.

Strategic Advancements in Utilizing Data Mining and Warehousing Technologies: New Concepts and Developments

Strategic Advancements in Utilizing Data Mining and Warehousing Technologies: New Concepts and Developments PDF Author: Taniar, David
Publisher: IGI Global
ISBN: 1605667188
Category : Computers
Languages : en
Pages : 448

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Book Description
"This book presents and disseminates new concepts and developments in the areas of data warehousing and data mining, in particular on the research trends shaped during the last few years"--Provided by publisher.

Ubiquitous Networking

Ubiquitous Networking PDF Author: Noureddine Boudriga
Publisher: Springer
ISBN: 3030028496
Category : Computers
Languages : en
Pages : 400

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Book Description
This book constitutes the refereed proceedings of the 4th International Symposium on Ubiquitous Networking, UNet 2018, held in Hammamet, Morocco, in May 2018. The 35 full papers presented together with 5 short papers in this volume were carefully reviewed and selected from 87 submissions. The focus of UNet is on technical challenges and solutions related to such a widespread adoption of networking technologies, including broadband multimedia, machine-to-machine applications, Internet of things, security and privacy, data engineering, sensor networks and RFID technologies.

Business and Consumer Analytics: New Ideas

Business and Consumer Analytics: New Ideas PDF Author: Pablo Moscato
Publisher: Springer
ISBN: 3030062228
Category : Computers
Languages : en
Pages : 1005

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Book Description
This two-volume handbook presents a collection of novel methodologies with applications and illustrative examples in the areas of data-driven computational social sciences. Throughout this handbook, the focus is kept specifically on business and consumer-oriented applications with interesting sections ranging from clustering and network analysis, meta-analytics, memetic algorithms, machine learning, recommender systems methodologies, parallel pattern mining and data mining to specific applications in market segmentation, travel, fashion or entertainment analytics. A must-read for anyone in data-analytics, marketing, behavior modelling and computational social science, interested in the latest applications of new computer science methodologies. The chapters are contributed by leading experts in the associated fields.The chapters cover technical aspects at different levels, some of which are introductory and could be used for teaching. Some chapters aim at building a common understanding of the methodologies and recent application areas including the introduction of new theoretical results in the complexity of core problems. Business and marketing professionals may use the book to familiarize themselves with some important foundations of data science. The work is a good starting point to establish an open dialogue of communication between professionals and researchers from different fields. Together, the two volumes present a number of different new directions in Business and Customer Analytics with an emphasis in personalization of services, the development of new mathematical models and new algorithms, heuristics and metaheuristics applied to the challenging problems in the field. Sections of the book have introductory material to more specific and advanced themes in some of the chapters, allowing the volumes to be used as an advanced textbook. Clustering, Proximity Graphs, Pattern Mining, Frequent Itemset Mining, Feature Engineering, Network and Community Detection, Network-based Recommending Systems and Visualization, are some of the topics in the first volume. Techniques on Memetic Algorithms and their applications to Business Analytics and Data Science are surveyed in the second volume; applications in Team Orienteering, Competitive Facility-location, and Visualization of Products and Consumers are also discussed. The second volume also includes an introduction to Meta-Analytics, and to the application areas of Fashion and Travel Analytics. Overall, the two-volume set helps to describe some fundamentals, acts as a bridge between different disciplines, and presents important results in a rapidly moving field combining powerful optimization techniques allied to new mathematical models critical for personalization of services. Academics and professionals working in the area of business anyalytics, data science, operations research and marketing will find this handbook valuable as a reference. Students studying these fields will find this handbook useful and helpful as a secondary textbook.

Agriculture: Innovation, Strategy & Technology in 21st Century - Volume I

Agriculture: Innovation, Strategy & Technology in 21st Century - Volume I PDF Author: Dr.Anukrati Sharma Megha Goyal
Publisher: Archers & Elevators Publishing House
ISBN: 9385640003
Category : Antiques & Collectibles
Languages : en
Pages :

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Book Description


Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications

Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications PDF Author: Wang, John
Publisher: IGI Global
ISBN: 159904952X
Category : Technology & Engineering
Languages : en
Pages : 4092

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Book Description
In recent years, the science of managing and analyzing large datasets has emerged as a critical area of research. In the race to answer vital questions and make knowledgeable decisions, impressive amounts of data are now being generated at a rapid pace, increasing the opportunities and challenges associated with the ability to effectively analyze this data.

Progressive Methods in Data Warehousing and Business Intelligence: Concepts and Competitive Analytics

Progressive Methods in Data Warehousing and Business Intelligence: Concepts and Competitive Analytics PDF Author: Taniar, David
Publisher: IGI Global
ISBN: 160566233X
Category : Computers
Languages : en
Pages : 390

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Book Description
Provides developments and research, as well as current innovative activities in data warehousing and mining, focusing on the intersection of data warehousing and business intelligence.

Exploring Advances in Interdisciplinary Data Mining and Analytics: New Trends

Exploring Advances in Interdisciplinary Data Mining and Analytics: New Trends PDF Author: Taniar, David
Publisher: IGI Global
ISBN: 1613504756
Category : Computers
Languages : en
Pages : 465

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Book Description
"This book is an updated look at the state of technology in the field of data mining and analytics offering the latest technological, analytical, ethical, and commercial perspectives on topics in data mining"--Provided by publisher.

Data Warehousing and Data Mining

Data Warehousing and Data Mining PDF Author: Elliot King
Publisher: Computer Technology Research Corporation
ISBN: 9781566070782
Category : Data mining
Languages : en
Pages : 0

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Book Description
CTR's report provides the necessary knowledge to develop and implement a successful data warehouse project. The report examines all aspects of data warehousing and offers step-by-step plans for data warehouse project development, including how to assemble an effective project team and effective data mining techniques. The report also reviews the key data warehousing technologies, products and vendors.

Cases on Open-Linked Data and Semantic Web Applications

Cases on Open-Linked Data and Semantic Web Applications PDF Author: Ordóñez de Pablos, Patricia
Publisher: IGI Global
ISBN: 1466628286
Category : Computers
Languages : en
Pages : 304

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Book Description
With the purpose of building upon standard web technologies, open linked data serves as a useful way to connect previously unrelated data and to publish structured data on the web. The application of these elements leads to the creation of data commons called semantic web. Cases on Open-Linked Data and Semantic Web Applications brings together new theories, research findings and case studies which cover the recent developments and approaches towards applied open linked data and semantic web in the context of information systems. By enhancing the understanding of open linked data in business, science and information technologies, this reference source aims to be useful for academics, researchers, and practitioners.

Data Mining

Data Mining PDF Author:
Publisher: BoD – Books on Demand
ISBN: 1839692669
Category : Computers
Languages : en
Pages : 226

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Book Description
The availability of big data due to computerization and automation has generated an urgent need for new techniques to analyze and convert big data into useful information and knowledge. Data mining is a promising and leading-edge technology for mining large volumes of data, looking for hidden information, and aiding knowledge discovery. It can be used for characterization, classification, discrimination, anomaly detection, association, clustering, trend or evolution prediction, and much more in fields such as science, medicine, economics, engineering, computers, and even business analytics. This book presents basic concepts, ideas, and research in data mining.