Innovations In Big Data Mining And Embedded Knowledge

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Innovations in Big Data Mining and Embedded Knowledge

Author : Anna Esposito,Antonietta M. Esposito,Lakhmi C. Jain
Publisher : Springer
Page : 276 pages
File Size : 45,9 Mb
Release : 2019-07-03
Category : Technology & Engineering
ISBN : 9783030159399

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Innovations in Big Data Mining and Embedded Knowledge by Anna Esposito,Antonietta M. Esposito,Lakhmi C. Jain Pdf

This book addresses the usefulness of knowledge discovery through data mining. With this aim, contributors from different fields propose concrete problems and applications showing how data mining and discovering embedded knowledge from raw data can be beneficial to social organizations, domestic spheres, and ICT markets. Data mining or knowledge discovery in databases (KDD) has received increasing interest due to its focus on transforming large amounts of data into novel, valid, useful, and structured knowledge by detecting concealed patterns and relationships. The concept of knowledge is broad and speculative and has promoted epistemological debates in western philosophies. The intensified interest in knowledge management and data mining stems from the difficulty in identifying computational models able to approximate human behaviors and abilities in resolving organizational, social, and physical problems. Current ICT interfaces are not yet adequately advanced to support and simulate the abilities of physicians, teachers, assistants or housekeepers in domestic spheres. And unlike in industrial contexts where abilities are routinely applied, the domestic world is continuously changing and unpredictable. There are challenging questions in this field: Can knowledge locked in conventions, rules of conduct, common sense, ethics, emotions, laws, cultures, and experiences be mined from data? Is it acceptable for automatic systems displaying emotional behaviors to govern complex interactions based solely on the mining of large volumes of data? Discussing multidisciplinary themes, the book proposes computational models able to approximate, to a certain degree, human behaviors and abilities in resolving organizational, social, and physical problems. The innovations presented are of primary importance for: a. The academic research community b. The ICT market c. Ph.D. students and early stage researchers d. Schools, hospitals, rehabilitation and assisted-living centers e. Representatives from multimedia industries and standardization bodies

Handbook of Research on Artificial Intelligence, Innovation and Entrepreneurship

Author : Elias G Carayannis,Evangelos Grigoroudis
Publisher : Edward Elgar Publishing
Page : 475 pages
File Size : 41,5 Mb
Release : 2023-02-14
Category : Business & Economics
ISBN : 9781839106750

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Handbook of Research on Artificial Intelligence, Innovation and Entrepreneurship by Elias G Carayannis,Evangelos Grigoroudis Pdf

The Handbook of Research on Artificial Intelligence, Innovation and Entrepreneurship focuses on theories, policies, practices, and politics of technology innovation and entrepreneurship based on Artificial Intelligence (AI). It examines when, where, how, and why AI triggers, catalyzes, and accelerates the development, exploration, exploitation, and invention feeding into entrepreneurial actions that result in innovation success.

The Ethics of Artificial Intelligence in Education

Author : Wayne Holmes,Kaśka Porayska-Pomsta
Publisher : Taylor & Francis
Page : 238 pages
File Size : 49,6 Mb
Release : 2022-08-11
Category : Education
ISBN : 9781000620702

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The Ethics of Artificial Intelligence in Education by Wayne Holmes,Kaśka Porayska-Pomsta Pdf

The Ethics of Artificial Intelligence in Education identifies and confronts key ethical issues generated over years of AI research, development, and deployment in learning contexts. Adaptive, automated, and data-driven education systems are increasingly being implemented in universities, schools, and corporate training worldwide, but the ethical consequences of engaging with these technologies remain unexplored. Featuring expert perspectives from inside and outside the AIED scholarly community, this book provides AI researchers, learning scientists, educational technologists, and others with questions, frameworks, guidelines, policies, and regulations to ensure the positive impact of artificial intelligence in learning.

Smart City Blueprint

Author : Tan Yigitcanlar
Publisher : CRC Press
Page : 363 pages
File Size : 50,8 Mb
Release : 2023-10-26
Category : Computers
ISBN : 9781000959901

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Smart City Blueprint by Tan Yigitcanlar Pdf

The smart city movement, during the last decade and a half, advocated the built environment and digital technology convergence with the backing of institutional capital and government support. The commitment of a significant number of local governments across the globe, in terms of official smart city policies and initiatives, along with the constant push of global technology giants, has reinforced the popularity of this movement. This two-volume treatment on smart cities thoroughly explores and sheds light on the prominent elements of the smart city phenomenon and generates a smart city blueprint. This first volume, with its 12 chapters, provides a sound understanding on the key foundations and growth directions of smart city frameworks, technologies, and platforms, with theoretical expansions, practical implications, and real-world case study lessons. The second companion volume offers sophisticated perspectives on the key foundations and directions of smart city policies, communities, and urban futures, with theoretical expansions, practical implications, and real-world case study lessons. This book is an invaluable reference source for urban policymakers, managers, planners, practitioners, and many others, particularly to benefit from it when tackling key urban and societal issues and planning for and delivering smart city solutions. Moreover, the book is also a rich and important repository for scholars and research and undergraduate students as it communicates the complex smart city phenomenon in an easy to digest form, by providing both the big picture view and specifics of each component of that view. It also appeals to local government agencies and smart city practitioners.

Data Science and Innovations for Intelligent Systems

Author : Kavita Taneja,Harmunish Taneja,Kuldeep Kumar,Arvind Selwal,Eng Lieh Ouh
Publisher : CRC Press
Page : 382 pages
File Size : 41,7 Mb
Release : 2021-10-01
Category : Technology & Engineering
ISBN : 9781000456158

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Data Science and Innovations for Intelligent Systems by Kavita Taneja,Harmunish Taneja,Kuldeep Kumar,Arvind Selwal,Eng Lieh Ouh Pdf

Data science is an emerging field and innovations in it need to be explored for the success of society 5.0. This book not only focuses on the practical applications of data science to achieve computational excellence, but also digs deep into the issues and implications of intelligent systems. This book highlights innovations in data science to achieve computational excellence that can optimize performance of smart applications. The book focuses on methodologies, framework, design issues, tools, architectures, and technologies necessary to develop and understand data science and its emerging applications in the present era. This book will be useful for the research community, start-up entrepreneurs, academicians, and data centered industries and professors that are interested in exploring innovations in varied applications and areas of data science.

Digital Ecosystem for Innovation in Agriculture

Author : Sanjay Chaudhary,Chandrashekhar M. Biradar,Srikrishnan Divakaran,Mehul S. Raval
Publisher : Springer Nature
Page : 280 pages
File Size : 55,8 Mb
Release : 2023-05-19
Category : Technology & Engineering
ISBN : 9789819905775

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Digital Ecosystem for Innovation in Agriculture by Sanjay Chaudhary,Chandrashekhar M. Biradar,Srikrishnan Divakaran,Mehul S. Raval Pdf

This book presents the latest findings in the areas of digital ecosystem for innovation in agriculture. The book is organized into two sections with thirteen chapters dealing with specialized areas. It provides the reader with an overview of the frameworks and technologies involved in the digitalization of agriculture, as well as the data processing methods, decision-making processes, and innovative services/applications for enabling digital transformations in agriculture. The chapters are written by experts sharing their experiences in lucid language through case studies, suitable illustrations, and tables. The contents have been designed to fulfill the needs of geospatial, data science, agricultural, and environmental sciences of universities, agricultural universities, technological universities, research institutes, and academic colleges worldwide. It helps the planners, policymakers, and extension scientists plan and sustainably manage agriculture and natural resources.

Cognitive Computing for Big Data Systems Over IoT

Author : Arun Kumar Sangaiah,Arunkumar Thangavelu,Venkatesan Meenakshi Sundaram
Publisher : Springer
Page : 375 pages
File Size : 40,6 Mb
Release : 2017-12-30
Category : Technology & Engineering
ISBN : 9783319706887

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Cognitive Computing for Big Data Systems Over IoT by Arun Kumar Sangaiah,Arunkumar Thangavelu,Venkatesan Meenakshi Sundaram Pdf

This book brings a high level of fluidity to analytics and addresses recent trends, innovative ideas, challenges and cognitive computing solutions in big data and the Internet of Things (IoT). It explores domain knowledge, data science reasoning and cognitive methods in the context of the IoT, extending current data science approaches by incorporating insights from experts as well as a notion of artificial intelligence, and performing inferences on the knowledge The book provides a comprehensive overview of the constituent paradigms underlying cognitive computing methods, which illustrate the increased focus on big data in IoT problems as they evolve. It includes novel, in-depth fundamental research contributions from a methodological/application in data science accomplishing sustainable solution for the future perspective. Mainly focusing on the design of the best cognitive embedded data science technologies to process and analyze the large amount of data collected through the IoT, and aid better decision making, the book discusses adapting decision-making approaches under cognitive computing paradigms to demonstrate how the proposed procedures as well as big data and IoT problems can be handled in practice. This book is a valuable resource for scientists, professionals, researchers, and academicians dealing with the new challenges and advances in the specific areas of cognitive computing and data science approaches.

Data Mining and Knowledge Discovery for Big Data

Author : Wesley W. Chu
Publisher : Springer Science & Business Media
Page : 311 pages
File Size : 42,9 Mb
Release : 2013-09-24
Category : Technology & Engineering
ISBN : 9783642408373

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Data Mining and Knowledge Discovery for Big Data by Wesley W. Chu Pdf

The field of data mining has made significant and far-reaching advances over the past three decades. Because of its potential power for solving complex problems, data mining has been successfully applied to diverse areas such as business, engineering, social media, and biological science. Many of these applications search for patterns in complex structural information. In biomedicine for example, modeling complex biological systems requires linking knowledge across many levels of science, from genes to disease. Further, the data characteristics of the problems have also grown from static to dynamic and spatiotemporal, complete to incomplete, and centralized to distributed, and grow in their scope and size (this is known as big data). The effective integration of big data for decision-making also requires privacy preservation. The contributions to this monograph summarize the advances of data mining in the respective fields. This volume consists of nine chapters that address subjects ranging from mining data from opinion, spatiotemporal databases, discriminative subgraph patterns, path knowledge discovery, social media, and privacy issues to the subject of computation reduction via binary matrix factorization.

Advances in Production Management Systems: Innovative Production Management Towards Sustainable Growth

Author : Shigeki Umeda,Masaru Nakano,Hajime Mizuyama,Hironori Hibino,Dimitris Kiritsis,Gregor von Cieminski
Publisher : Springer
Page : 659 pages
File Size : 55,8 Mb
Release : 2015-08-17
Category : Computers
ISBN : 9783319227597

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Advances in Production Management Systems: Innovative Production Management Towards Sustainable Growth by Shigeki Umeda,Masaru Nakano,Hajime Mizuyama,Hironori Hibino,Dimitris Kiritsis,Gregor von Cieminski Pdf

The two volumes IFIP AICT 459 and 460 constitute the refereed proceedings of the International IFIP WG 5.7 Conference on Advances in Production Management Systems, APMS 2015, held in Tokyo, Japan, in September 2015. The 163 revised full papers were carefully reviewed and selected from 185 submissions. They are organized in the following topical sections: collaborative networks; globalization and production management; knowledge based production management; project management, engineering management, and quality management; sustainability and production management; co-creating sustainable business processes and ecosystems; open cloud computing architecture for smart manufacturing and cyber physical production systems; the practitioner's view on "innovative production management towards sustainable growth"; the role of additive manufacturing in value chain reconfiguration and sustainability; operations management in engineer-to-order manufacturing; lean production; sustainable system design for green products; cloud-based manufacturing; ontology-aided production - towards open and knowledge-driven planning and control; product-service lifecycle management: knowledge-driven innovation and social implications; and service engineering.

Handbook of Research on Managerial Practices and Disruptive Innovation in Asia

Author : Ordoñez de Pablos, Patricia,Zhang, Xi,Chui, Kwok Tai
Publisher : IGI Global
Page : 451 pages
File Size : 53,8 Mb
Release : 2019-08-30
Category : Business & Economics
ISBN : 9781799803591

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Handbook of Research on Managerial Practices and Disruptive Innovation in Asia by Ordoñez de Pablos, Patricia,Zhang, Xi,Chui, Kwok Tai Pdf

Collaboration in business allows for equitable opportunities and inclusive growth as the economy rises while also permitting partnering organizations to adopt and utilize the latest successful practices and management. However, a market in stasis may require a displacement in order to allow businesses to grow and create new alliances and partnerships toward a shared economy. There is a need for studies that seek to understand the necessity of market disruption and the best supervisory methods for remaining relevant and profitable in a time of change. The Handbook of Research on Managerial Practices and Disruptive Innovation in Asia is an essential reference source that explores successful executive behavior and business operations striving toward a more inclusive economy. Featuring research on topics such as employee welfare, brand orientation, and entrepreneurship, this publication is ideally designed for human resources developers, policymakers, IT specialists, economists, executives, managers, corporate directors, information technologists, and academicians seeking current research focusing on innovative business factors and sustainable economies in Asia.

Innovative and Intelligent Technology-Based Services For Smart Environments - Smart Sensing and Artificial Intelligence

Author : Sami Ben Slama,Fethi Choubani,Cesar Benavente-Peces,Afef Abdelkarim
Publisher : CRC Press
Page : 332 pages
File Size : 48,5 Mb
Release : 2021-06-28
Category : Computers
ISBN : 9781000401295

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Innovative and Intelligent Technology-Based Services For Smart Environments - Smart Sensing and Artificial Intelligence by Sami Ben Slama,Fethi Choubani,Cesar Benavente-Peces,Afef Abdelkarim Pdf

This book contains a collection of high-quality papers describing the results of relevant investigations and cutting-edge technologies, aimed at improving key aspects of real life, including major challenges such as the development of smart cities, smart buildings, smart grids, and the reduction of the impact of human activities on the environment. Sustainability requires the use of green technologies and techniques and good practices. Artificial intelligence seems to be an appropriate approach to optimize the use of resources. The main focus of this book is the dissemination of novel and innovative technologies, techniques and applications of artificial intelligence, computing and information and communications technologies, and new digital services such as digital marketing, smart tourism, smart agriculture, green and renewable energy sources. Besides, this book focuses on nurturing energy trends including renewable energies, smart grids, human activity impact, communication, behaviour, and social development, and quality of life improvement fields based on the innovative use of sensors, big data and the Internet of things (IoT), telecommunications and machine learning.

Big Data and Learning Analytics in Higher Education

Author : Ben Kei Daniel
Publisher : Springer
Page : 272 pages
File Size : 55,8 Mb
Release : 2016-08-27
Category : Education
ISBN : 9783319065205

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Big Data and Learning Analytics in Higher Education by Ben Kei Daniel Pdf

​This book focuses on the uses of big data in the context of higher education. The book describes a wide range of administrative and operational data gathering processes aimed at assessing institutional performance and progress in order to predict future performance, and identifies potential issues related to academic programming, research, teaching and learning​. Big data refers to data which is fundamentally too big and complex and moves too fast for the processing capacity of conventional database systems. The value of big data is the ability to identify useful data and turn it into useable information by identifying patterns and deviations from patterns​.

Deep Learning Innovations and Their Convergence With Big Data

Author : Karthik, S.,Paul, Anand,Karthikeyan, N.
Publisher : IGI Global
Page : 265 pages
File Size : 51,8 Mb
Release : 2017-07-13
Category : Computers
ISBN : 9781522530169

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Deep Learning Innovations and Their Convergence With Big Data by Karthik, S.,Paul, Anand,Karthikeyan, N. Pdf

The expansion of digital data has transformed various sectors of business such as healthcare, industrial manufacturing, and transportation. A new way of solving business problems has emerged through the use of machine learning techniques in conjunction with big data analytics. Deep Learning Innovations and Their Convergence With Big Data is a pivotal reference for the latest scholarly research on upcoming trends in data analytics and potential technologies that will facilitate insight in various domains of science, industry, business, and consumer applications. Featuring extensive coverage on a broad range of topics and perspectives such as deep neural network, domain adaptation modeling, and threat detection, this book is ideally designed for researchers, professionals, and students seeking current research on the latest trends in the field of deep learning techniques in big data analytics.

Innovative Technologies for Enhancing Knowledge Access in Academic Libraries

Author : Masenya, Tlou Maggie
Publisher : IGI Global
Page : 337 pages
File Size : 50,6 Mb
Release : 2022-06-24
Category : Language Arts & Disciplines
ISBN : 9781668433669

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Innovative Technologies for Enhancing Knowledge Access in Academic Libraries by Masenya, Tlou Maggie Pdf

An increasing number of academic libraries worldwide are adopting innovative technologies in creating, organizing, storing, managing, disseminating, preserving, and enhancing access to their vital knowledge in order to adapt to the changing library environment and to stay relevant in the digital world. This transition necessitates a need for best practices and reimagined strategies of implementing innovative technologies to ensure sustainable knowledge access and increase knowledge sharing. Innovative Technologies for Enhancing Knowledge Access in Academic Libraries aims to provide best practices, innovative strategies, theoretical frameworks, conceptual frameworks, and empirical research findings regarding the application of emerging and innovative technologies in managing, preserving, and enhancing knowledge access in academic libraries worldwide. Covering a range of topics such as artificial intelligence, knowledge organization, records management, and library services, this reference work is ideal for librarians, researchers, scholars, practitioners, academicians, instructors, and students.

Intelligent Knowledge

Author : Yong Shi,Lingling Zhang,Yingjie Tian,Xingsen Li
Publisher : Unknown
Page : 128 pages
File Size : 44,6 Mb
Release : 2015
Category : Electronic
ISBN : 3662461943

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Intelligent Knowledge by Yong Shi,Lingling Zhang,Yingjie Tian,Xingsen Li Pdf

This book is mainly about an innovative and fundamental method called "intelligent knowledge" to bridge the gap between data mining and knowledge management, two important fields recognized by the information technology (IT) community and business analytics (BA) community respectively. The book includes definitions of the "first-order" analytic process, "second-order" analytic process and intelligent knowledge, which have not formally been addressed by either data mining or knowledge management. Based on these concepts, which are especially important in connection with the current Big Data movement, the book describes a framework of domain-driven intelligent knowledge discovery. To illustrate its technical advantages for large-scale data, the book employs established approaches, such as Multiple Criteria Programming, Support Vector Machine and Decision Tree to identify intelligent knowledge incorporated with human knowledge. The book further shows its applicability by means of real-life data analyses in the contexts of internet business and traditional Chinese medicines.