Modeling and Data Mining in Blogosphere

Modeling and Data Mining in Blogosphere

Author: Nitin Agarwal

Publisher: Springer Nature

Published: 2022-06-01

Total Pages: 127

ISBN-13: 3031018982

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This book offers a comprehensive overview of the various concepts and research issues about blogs or weblogs. It introduces techniques and approaches, tools and applications, and evaluation methodologies with examples and case studies. Blogs allow people to express their thoughts, voice their opinions, and share their experiences and ideas. Blogs also facilitate interactions among individuals creating a network with unique characteristics. Through the interactions individuals experience a sense of community. We elaborate on approaches that extract communities and cluster blogs based on information of the bloggers. Open standards and low barrier to publication in Blogosphere have transformed information consumers to producers, generating an overwhelming amount of ever-increasing knowledge about the members, their environment and symbiosis. We elaborate on approaches that sift through humongous blog data sources to identify influential and trustworthy bloggers leveraging content and network information. Spam blogs or "splogs" are an increasing concern in Blogosphere and are discussed in detail with the approaches leveraging supervised machine learning algorithms and interaction patterns. We elaborate on data collection procedures, provide resources for blog data repositories, mention various visualization and analysis tools in Blogosphere, and explain conventional and novel evaluation methodologies, to help perform research in the Blogosphere. The book is supported by additional material, including lecture slides as well as the complete set of figures used in the book, and the reader is encouraged to visit the book website for the latest information. Table of Contents: Modeling Blogosphere / Blog Clustering and Community Discovery / Influence and Trust / Spam Filtering in Blogosphere / Data Collection and Evaluation


Emerging Technologies in Knowledge Discovery and Data Mining

Emerging Technologies in Knowledge Discovery and Data Mining

Author: Takashi Washio

Publisher: Springer Science & Business Media

Published: 2007-12-14

Total Pages: 688

ISBN-13: 354077016X

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This book constitutes the thoroughly refereed post-proceedings of three workshops and an industrial track held in conjunction with the 11th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2007, held in Nanjing, China in May 2007. The 62 revised full papers presented together with an overview article to each workshop were carefully reviewed and selected from 355 submissions.


Advances in ICT for Business, Industry and Public Sector

Advances in ICT for Business, Industry and Public Sector

Author: Maria Mach-Król

Publisher: Springer

Published: 2014-10-09

Total Pages: 195

ISBN-13: 3319113283

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This contributed volume is a result of discussions held at ABICT’13(4th International Workshop on Advances in Business ICT) in Krakow, September 8-11, 2013. The book focuses on Advances in Business ICT approached from a multidisciplinary perspective and demonstrates different ideas and tools for developing and supporting organizational creativity, as well as advances in decision support systems.This book is an interesting resource for researchers, analysts and IT professionals including software designers. The book comprises eleven chapters presenting research results on business analytics in organization, business processes modeling, problems with processing big data, nonlinear time structures and nonlinear time ontology application, simulation profiling, signal processing (including change detection problems), text processing and risk analysis.


Web 2.0 Technologies and Democratic Governance

Web 2.0 Technologies and Democratic Governance

Author: Christopher G. Reddick

Publisher: Springer Science & Business Media

Published: 2012-06-15

Total Pages: 273

ISBN-13: 1461414482

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Web 2.0 has become the buzz word for describing social media available on the Internet, such as blogs, photo and file sharing systems and social networking sites. These Web 2.0 applications are rapidly transforming citizen-citizen and citizen-government interactions in a manner not seen before. In recognition of these trends, governments are already taking a very close look at Web 2.0 and online communities in order to leverage them for designing products and services and for providing citizen services. This book brings together international scholars to provide the theoretical and practical contexts for understanding the nature of Web 2.0 technologies and their impact on political, public policy and management processes, and to explore how best Web 2.0 applications can be leveraged and aligned with the strategic goals of government organizations to add value and ensure effective governance. Drawing from experiences from countries around the globe, the book provides the theoretical context of the potential for Web 2.0 applications to transform government services, as well as practical examples of leading public sector institutions that have attempted to use Web 2.0 applications to enhance government operations, policy making and administration. There are three parts to the book, namely 1) Perspectives on Web 2.0 and Democratic Governance, 2) The Political, Policy and Management Impacts of Web 2.0 in Government, and 3) Leveraging Web 2.0 Applications for Effective Governance. This book differs from existing edited books on Web 2.0 technologies that focus primarily on politics and e-democracy because it examines the impact of the applications on politics, policy and public management. The book contributes toward the literature by filling the existing void and expanding knowledge in the field of public administration and policy, making it of interest to both academics and policy-makers.


Next Generation of Data Mining

Next Generation of Data Mining

Author: Hillol Kargupta

Publisher: CRC Press

Published: 2008-12-24

Total Pages: 640

ISBN-13: 1420085875

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Drawn from the US National Science Foundation's Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation (NGDM 07), Next Generation of Data Mining explores emerging technologies and applications in data mining as well as potential challenges faced by the field.Gathering perspectives from top experts across different di


Market Research Methodologies: Multi-Method and Qualitative Approaches

Market Research Methodologies: Multi-Method and Qualitative Approaches

Author: Takhar-Lail, Amandeep

Publisher: IGI Global

Published: 2014-08-31

Total Pages: 326

ISBN-13: 1466663723

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Human inquiry has served as the impetus for a number of developments throughout history. Seeking new knowledge about the world around us helps to drive our progress and push us to discover innovative improvements. This drive lends itself to the development of qualitative research. Market Research Methodologies: Multi-Method and Qualitative Approaches brings together innovative techniques and novel designs that aid in the development of multi-method studies and investigations. Focusing on vital concepts such as data validity, triangulation, and reliability, this book is a fundamental reference source for PhD students, graduate students, and academics within the business field who wish to understand how these methods can be employed to extract data from particular environments.


Pervasive Computing

Pervasive Computing

Author: Kent Lyons

Publisher: Springer

Published: 2011-06-03

Total Pages: 381

ISBN-13: 3642217265

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This book constitutes the refereed proceedings of the 9th International Conference on Pervasive Computing, Pervasive 2011, held in San Francisco, USA, in June 2011. The 19 revised full papers and three short papers presented were carefully reviewed and selected from 93 submissions. The contributions are grouped into the following topical sections: practices with smartphones; sensing at home, sensing at work; predicting the future; location sensing; augmenting mobile phone use; pervasive computing in the public arena; public displays; hands on with sensing; sensing on the body.


Blogosphere and its Exploration

Blogosphere and its Exploration

Author: Christoph Meinel

Publisher: Springer

Published: 2015-03-20

Total Pages: 272

ISBN-13: 3662444097

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This book represents an attempt to fully review the phenomenon of the blogosphere. The intention is to provide a reliable guide to understanding and analyzing the world of the unimaginable number of diverse blogs, each consisting of innumerable posts, which in their entirety form the blogosphere. We go on to answer the questions of how to grasp the complexity of the blogosphere and extract useful knowledge from it. In setting out to write this book, our central aim was to increase the reader’s awareness and understanding of the blogosphere phenomenon, including its structure and characteristics. This can be achieved through a better understanding of individual blogs and their particular technical characteristics, as well as a deeper knowledge of how a single blog is embedded and interconnected within the entire blogosphere. The shape and form of the blogosphere can be described using the analogy of different continents. In our description the defining features and characteristics of the continents are illustrated by paradigmatic example blogs. Following on from the structural analysis we provide details of the available methods and describe the complex challenge of automatically retrieving information from the abundance of data contained in the blogosphere. Finally, we present our blog search platform, called BLOGINTELLIGENCE and describe all the tools and features we have developed during the last couple of years to explore the blogosphere.


New Frontiers in Applied Data Mining

New Frontiers in Applied Data Mining

Author: Longbing Cao

Publisher: Springer Science & Business Media

Published: 2012-02-15

Total Pages: 526

ISBN-13: 3642283195

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This book constitutes the thoroughly refereed post-conference proceedings of five international workshops held in conjunction with PAKDD 2011 in Shenzhen, China, in May 2011: the International Workshop on Behavior Informatics (BI 2011), the Workshop on Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models (QIMIE 2011), the Workshop on Biologically Inspired Techniques for Data Mining (BDM 2011), the Workshop on Advances and Issues in Traditional Chinese Medicine Clinical Data Mining (AI-TCM 2011), and the Second Workshop on Data Mining for Healthcare Management (DMGHM 2011). The book also includes papers from the First PAKDD Doctoral Symposium on Data Mining (DSDM 2011). The 42 papers were carefully reviewed and selected from numerous submissions. The papers cover a wide range of topics discussing emerging techniques in the field of knowledge discovery in databases and their application domains extending to previously unexplored areas such as data mining based on optimization techniques from biological behavior of animals and applications in Traditional Chinese Medicine clinical research and health care management.


Social Network Data Analytics

Social Network Data Analytics

Author: Charu C. Aggarwal

Publisher: Springer Science & Business Media

Published: 2011-03-18

Total Pages: 508

ISBN-13: 1441984623

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Social network analysis applications have experienced tremendous advances within the last few years due in part to increasing trends towards users interacting with each other on the internet. Social networks are organized as graphs, and the data on social networks takes on the form of massive streams, which are mined for a variety of purposes. Social Network Data Analytics covers an important niche in the social network analytics field. This edited volume, contributed by prominent researchers in this field, presents a wide selection of topics on social network data mining such as Structural Properties of Social Networks, Algorithms for Structural Discovery of Social Networks and Content Analysis in Social Networks. This book is also unique in focussing on the data analytical aspects of social networks in the internet scenario, rather than the traditional sociology-driven emphasis prevalent in the existing books, which do not focus on the unique data-intensive characteristics of online social networks. Emphasis is placed on simplifying the content so that students and practitioners benefit from this book. This book targets advanced level students and researchers concentrating on computer science as a secondary text or reference book. Data mining, database, information security, electronic commerce and machine learning professionals will find this book a valuable asset, as well as primary associations such as ACM, IEEE and Management Science.