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Knowledge Discovery and Data Design Innovation by Hawamdeh Suliman,Allen Jeff,Alemneh Daniel Pdf
To navigate the complex ecosystem of societal challenges, the International Conference on Knowledge Management Conference (ICKM 2017) focused on big data and data analytics as part of the relationship to the wider concept of knowledge management processes and practices. This book includes top papers presenting the major, and diverse, topics discussed at the conference. The papers covered various aspects of big data ranging from enhancing access to the big data to facilitating its wide applications in healthcare, social media, library and information centers, governments, and corporations.
Knowledge Discovery and Data Design Innovation by Daniel Gelaw Alemneh,Jeff Allen,Suliman Al-Hawamdeh Pdf
"To navigate the complex ecosystem of societal challenges, the International Conference on Knowledge Management Conference (ICKM 2017) focused on big data and data analytics as part of the relationship to the wider concept of knowledge management processes and practices. This book includes top papers presenting the major, and diverse, topics discussed at the conference. The papers covered various aspects of big data ranging from enhancing access to the big data to facilitating its wide applications in healthcare, social media, library and information centers, governments, and corporations."--Publisher's website.
Enhancing Knowledge Discovery and Innovation in the Digital Era by Lytras, Miltiadis D.,Daniela, Linda,Visvizi, Anna Pdf
With the dawn of electronic databases, information technologies, and the Internet, organizations, now more than ever, have easy access to all the knowledge they need to conduct their business. However, utilizing and detecting the beneficial information can pose as a challenge. Enhancing Knowledge Discovery and Innovation in the Digital Era is a vibrant reference source on the latest research on student education, open information, technology enhanced learning (TEL), and student outcomes. Featuring widespread coverage across a range of applicable perspectives and topics, such as engineering education, data mining, and 3D printing, this book is ideally designed for professionals, upper-level students, and academics seeking current research on knowledge management and innovation networks.
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
Complex Data Warehousing and Knowledge Discovery for Advanced Retrieval Development: Innovative Methods and Applications by Nguyen, Tho Manh Pdf
Recently, researchers have focused on challenging problems facing the development of data warehousing, knowledge discovery, and data mining applications.
The Data Bonanza by Malcolm Atkinson,Rob Baxter,Peter Brezany,Oscar Corcho,Michelle Galea,Mark Parsons,David Snelling,Jano van Hemert Pdf
Complete guidance for mastering the tools and techniques of the digital revolution With the digital revolution opening up tremendous opportunities in many fields, there is a growing need for skilled professionals who can develop data-intensive systems and extract information and knowledge from them. This book frames for the first time a new systematic approach for tackling the challenges of data-intensive computing, providing decision makers and technical experts alike with practical tools for dealing with our exploding data collections. Emphasizing data-intensive thinking and interdisciplinary collaboration, The Data Bonanza: Improving Knowledge Discovery in Science, Engineering, and Business examines the essential components of knowledge discovery, surveys many of the current research efforts worldwide, and points to new areas for innovation. Complete with a wealth of examples and DISPEL-based methods demonstrating how to gain more from data in real-world systems, the book: Outlines the concepts and rationale for implementing data-intensive computing in organizations Covers from the ground up problem-solving strategies for data analysis in a data-rich world Introduces techniques for data-intensive engineering using the Data-Intensive Systems Process Engineering Language DISPEL Features in-depth case studies in customer relations, environmental hazards, seismology, and more Showcases successful applications in areas ranging from astronomy and the humanities to transport engineering Includes sample program snippets throughout the text as well as additional materials on a companion website The Data Bonanza is a must-have guide for information strategists, data analysts, and engineers in business, research, and government, and for anyone wishing to be on the cutting edge of data mining, machine learning, databases, distributed systems, or large-scale computing.
Knowledge Discovery, Knowledge Engineering and Knowledge Management by Frans Coenen,Ana Fred,David Aveiro,Jan Dietz,Jorge Bernardino,Elio Masciari,Joaquim Filipe Pdf
This book constitutes the refereed proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2022, held in Valletta, Malta, during October 24–26, 2022. The 14 full papers included in this book were carefully reviewed and selected from 127 submissions. They were organized in topical sections as follows: Knowledge Discovery and Information Retrieval; Knowledge Engineering and Ontology Development; and Knowledge Management and Information Systems
Data Warehousing and Knowledge Discovery by Il-Yeol Song,Johann Eder,Tho Manh Nguyen Pdf
Data Warehousing and Knowledge Discovery have been widely accepted as key te- nologies for enterprises and organizations as a means of improving their abilities in data analysis, decision support, and the automatic extraction of knowledge from data. With the exponentially growing amount of information to be included in the decision making process, the data to be processed is becoming more and more complex in both structure and semantics. Consequently, the process of retrieval and knowledge disc- ery from this huge amount of heterogeneous complex data constitutes the reality check for research in the area. During the past few years, the International Conference on Data Warehousing and Knowledge Discovery (DaWaK) has become one of the most important international scientific events to bring together researchers, developers and practitioners. The DaWaK conferences serve as a prominent forum for discussing the latest research issues and experiences in developing and deploying data warehousing and knowledge discovery systems, applications, and solutions. This year’s conference, the 10th Int- national Conference on Data Warehousing and Knowledge Discovery (DaWaK 2008), continued the tradition of facilitating the cross-disciplinary exchange of ideas, expe- ence and potential research directions. DaWaK 2008 sought to disseminate innovative principles, methods, algorithms and solutions to challenging problems faced in the development of data warehousing, knowledge discovery and data mining applications.
Research and Design Innovations for Mobile User Experience by R?zvano?lu, Kerem Pdf
Mobile devices allow users to remain connected with each other anytime and anywhere, but flaws and limitations in the design of mobile interfaces have often constituted frustrating obstacles to usability. Research and Design Innovations for Mobile User Experience offers innovative design solutions for mobile human-computer interfaces, addressing both challenges and opportunities in the field to pragmatically improve the accessibility of mobile technologies. Through cutting-edge empirical studies and investigative cases, this reference book will enable designers, developers, managers, and experts of mobile computer interfaces with the most up-to-date tools and techniques for providing their users with an outstanding mobile experience.
Data Mining and Knowledge Discovery Technologies by Taniar, David Pdf
As information technology continues to advance in massive increments, the bank of information available from personal, financial, and business electronic transactions and all other electronic documentation and data storage is growing at an exponential rate. With this wealth of information comes the opportunity and necessity to utilize this information to maintain competitive advantage and process information effectively in real-world situations. Data Mining and Knowledge Discovery Technologies presents researchers and practitioners in fields such as knowledge management, information science, Web engineering, and medical informatics, with comprehensive, innovative research on data mining methods, structures, tools, and methods, the knowledge discovery process, and data marts, among many other cutting-edge topics.
Chinese Innovation And Branding Leaps by Serdar S Durmusoglu Pdf
China is the largest emerging market economy and the second largest economy in the world. This fact makes better understanding of the experiences of Chinese firms globally and firms in China crucial factors for enhanced success. In essence, this book focuses on providing conceptual as well as in-depth case and other empirical studies on the challenges faced and lessons learned regarding the 'management of innovation, knowledge management, and branding' by Chinese firms in the global arena as well as foreign firms in China.
Knowledge Discovery from Sensor Data by Auroop R. Ganguly,Joao Gama,Olufemi A. Omitaomu,Mohamed Gaber,Ranga Raju Vatsavai Pdf
As sensors become ubiquitous, a set of broad requirements is beginning to emerge across high-priority applications including disaster preparedness and management, adaptability to climate change, national or homeland security, and the management of critical infrastructures. This book presents innovative solutions in offline data mining and real-time analysis of sensor or geographically distributed data. It discusses the challenges and requirements for sensor data based knowledge discovery solutions in high-priority application illustrated with case studies. It explores the fusion between heterogeneous data streams from multiple sensor types and applications in science, engineering, and security.
Knowledge Discovery from Data Streams by Joao Gama Pdf
Since the beginning of the Internet age and the increased use of ubiquitous computing devices, the large volume and continuous flow of distributed data have imposed new constraints on the design of learning algorithms. Exploring how to extract knowledge structures from evolving and time-changing data, Knowledge Discovery from Data Streams presents
Innovations in Database Design, Web Applications, and Information Systems Management by Siau, Keng Pdf
New techniques and tools for database and database technologies are continuously being introduced. These technologies are the heart of many business information systems and can benefit from theories, models, and research results from other disciplines. Innovations in Database Design, Web Applications, and Information Systems Management presents ideal research in the areas of database theory, systems design, ontologies, and many more. Including examples of the convergence of ideas from various disciplines aimed at improving and developing the theory of information technology and management of information resources, this book is useful for researchers and practitioners in the IT field.
Knowledge Governance And Learning For Organizational Creativity And Transformation by Patricia De Sa Freire,Suliman Hawamdeh,Gertrudes Aparecida Dandolini Pdf
Today Learning Organizations are shaped by collective knowledge and the existence of teams and groups of people that are continuously developing their capacity and ability to create results. Knowledge-based organizations understand the importance of continually learning at all levels and facilitate learning for their members through empowering people, encouraging collaboration, and promoting open dialogue. Organizational management issues have become strategic and fundamental in the collection and sharing of data and information and are recognized as challenging to both public and private organizations around the world. This has created the need to knowledge governance mechanisms to support Knowledge Management practices in organizations.For this governance, the mechanisms and procedures that encompass Knowledge Management, advancing beyond the traditional Corporate Governance (CorpGov) model, have been consolidated into a new governance model described as Knowledge Governance (KGov). Such model considers the processes of the knowledge related to the use, creation, retention, integration and sharing. In order to implement governance, it is essential to develop competencies and establish corporate policies and structures focusing on respect for common interests and collective goals. In this context, mechanisms must be created for the creation, sharing, storage and transfer of knowledge, making changes happen in synergy and adding value to the organization as a whole.The book covers the newly emerging area of knowledge governance and Learning Organizations and expands our understanding of Learning Organizations and their ability to acquire, create and share knowledge while continually examining organizational behavioral issues affecting their productivity.
