The present work covers the latest developments and discoveries related to information reuse and integration in academia and industrial settings. The need for dealing with the large volumes of data being produced and stored in the last decades and the numerous systems developed to deal with these is increasingly necessary. Not all these developments could have been achieved without the investing large amounts of resources. Over time, new data sources evolve and data integration continues to be an essential and vital requirement. Furthermore, systems and products need to be revised to adapt...
The present work covers the latest developments and discoveries related to information reuse and integration in academia and industrial settings. T...
This book offers research based on social network techniques showing how data from crime and terror networks can be analyzed and how information can be extracted. Covers crime data mining and visualization; terror network analysis, threat prediction and more.
This book offers research based on social network techniques showing how data from crime and terror networks can be analyzed and how information can b...
The present text aims at helping the reader to maximize the reuse of information. Topics covered include tools and services for creating simple, rich, and reusable knowledge representations to explore strategies for integrating this knowledge into legacy systems. The reuse and integration are essential concepts that must be enforced to avoid duplicating the effort and reinventing the wheel each time in the same field. This problem is investigated from different perspectives. in organizations, high volumes of data from different sources form a big threat for filtering out the information for...
The present text aims at helping the reader to maximize the reuse of information. Topics covered include tools and services for creating simple, rich,...
Social network analysis increasingly bridges the discovery of patterns in diverse areas of study as more data becomes available and complex. Yet the construction of huge networks from large data often requires entirely different approaches for analysis including; graph theory, statistics, machine learning and data mining. This work covers frontier studies on social network analysis and mining from different perspectives such as social network sites, financial data, e-mails, forums, academic research funds, XML technology, blog content, community detection and clique finding, prediction of...
Social network analysis increasingly bridges the discovery of patterns in diverse areas of study as more data becomes available and complex. Yet th...
In recent years, social network research has advanced significantly with the development of sophisticated techniques for Social Network Analysis and Mining (SNAM). This book traces parallels between new social media and similar social patterns.
In recent years, social network research has advanced significantly with the development of sophisticated techniques for Social Network Analysis and M...
This book offers research based on social network techniques showing how data from crime and terror networks can be analyzed and how information can be extracted. Covers crime data mining and visualization; terror network analysis, threat prediction and more.
This book offers research based on social network techniques showing how data from crime and terror networks can be analyzed and how information can b...
This book discusses the theoretical and practical aspects of handling the large volume of data being produced and stored today, and the numerous technological systems developed to store and manage it. Shows how to assemble and integrate the necessary components.
This book discusses the theoretical and practical aspects of handling the large volume of data being produced and stored today, and the numerous techn...
This book addresses the challenges of social network and social media analysis in terms of prediction and inference. These include generating realistic social network topologies, awareness of user activities, topic and trend generation, estimation of user attributes from their social content, and behavior detection.
This book addresses the challenges of social network and social media analysis in terms of prediction and inference. These include generating realisti...
This book focuses on recent technical advancements and state-of-the art technologies for analyzing characteristic features and probabilistic modelling of complex social networks and decentralized online network architectures.
This book focuses on recent technical advancements and state-of-the art technologies for analyzing characteristic features and probabilistic modelling...
