Individual And Collective Graph Mining

Individual and Collective Graph Mining PDF
Author: Danai Koutra
Publisher: Morgan & Claypool Publishers
ISBN: 1681730405
Size: 36.90 MB
Format: PDF, ePub, Mobi
Category : Computers
Languages : en
Pages : 206
View: 1317

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Individual And Collective Graph Mining

by Danai Koutra, Individual And Collective Graph Mining Books available in PDF, EPUB, Mobi Format. Download Individual And Collective Graph Mining books, Graphs naturally represent information ranging from links between web pages, to communication in email networks, to connections between neurons in our brains. These graphs often span billions of nodes and interactions between them. Within this deluge of interconnected data, how can we find the most important structures and summarize them? How can we efficiently visualize them? How can we detect anomalies that indicate critical events, such as an attack on a computer system, disease formation in the human brain, or the fall of a company? This book presents scalable, principled discovery algorithms that combine globality with locality to make sense of one or more graphs. In addition to fast algorithmic methodologies, we also contribute graph-theoretical ideas and models, and real-world applications in two main areas: •Individual Graph Mining: We show how to interpretably summarize a single graph by identifying its important graph structures. We complement summarization with inference, which leverages information about few entities (obtained via summarization or other methods) and the network structure to efficiently and effectively learn information about the unknown entities. •Collective Graph Mining: We extend the idea of individual-graph summarization to time-evolving graphs, and show how to scalably discover temporal patterns. Apart from summarization, we claim that graph similarity is often the underlying problem in a host of applications where multiple graphs occur (e.g., temporal anomaly detection, discovery of behavioral patterns), and we present principled, scalable algorithms for aligning networks and measuring their similarity. The methods that we present in this book leverage techniques from diverse areas, such as matrix algebra, graph theory, optimization, information theory, machine learning, finance, and social science, to solve real-world problems. We present applications of our exploration algorithms to massive datasets, including a Web graph of 6.6 billion edges, a Twitter graph of 1.8 billion edges, brain graphs with up to 90 million edges, collaboration, peer-to-peer networks, browser logs, all spanning millions of users and interactions.


Outlier Detection Techniques And Applications

Outlier Detection  Techniques and Applications PDF
Author: N. N. R. Ranga Suri
Publisher: Springer
ISBN: 3030051277
Size: 75.58 MB
Format: PDF, ePub, Mobi
Category : Technology & Engineering
Languages : en
Pages : 214
View: 3056

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Outlier Detection Techniques And Applications

by N. N. R. Ranga Suri, Outlier Detection Techniques And Applications Books available in PDF, EPUB, Mobi Format. Download Outlier Detection Techniques And Applications books, This book, drawing on recent literature, highlights several methodologies for the detection of outliers and explains how to apply them to solve several interesting real-life problems. The detection of objects that deviate from the norm in a data set is an essential task in data mining due to its significance in many contemporary applications. More specifically, the detection of fraud in e-commerce transactions and discovering anomalies in network data have become prominent tasks, given recent developments in the field of information and communication technologies and security. Accordingly, the book sheds light on specific state-of-the-art algorithmic approaches such as the community-based analysis of networks and characterization of temporal outliers present in dynamic networks. It offers a valuable resource for young researchers working in data mining, helping them understand the technical depth of the outlier detection problem and devise innovative solutions to address related challenges.


Mining Structures Of Factual Knowledge From Text

Mining Structures of Factual Knowledge from Text PDF
Author: Xiang Ren
Publisher: Morgan & Claypool Publishers
ISBN: 1681733935
Size: 28.55 MB
Format: PDF
Category : Computers
Languages : en
Pages : 199
View: 682

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Mining Structures Of Factual Knowledge From Text

by Xiang Ren, Mining Structures Of Factual Knowledge From Text Books available in PDF, EPUB, Mobi Format. Download Mining Structures Of Factual Knowledge From Text books, The real-world data, though massive, is largely unstructured, in the form of natural-language text. It is challenging but highly desirable to mine structures from massive text data, without extensive human annotation and labeling. In this book, we investigate the principles and methodologies of mining structures of factual knowledge (e.g., entities and their relationships) from massive, unstructured text corpora. Departing from many existing structure extraction methods that have heavy reliance on human annotated data for model training, our effort-light approach leverages human-curated facts stored in external knowledge bases as distant supervision and exploits rich data redundancy in large text corpora for context understanding. This effort-light mining approach leads to a series of new principles and powerful methodologies for structuring text corpora, including (1) entity recognition, typing and synonym discovery, (2) entity relation extraction, and (3) open-domain attribute-value mining and information extraction. This book introduces this new research frontier and points out some promising research directions.


Multidimensional Mining Of Massive Text Data

Multidimensional Mining of Massive Text Data PDF
Author: Chao Zhang
Publisher: Morgan & Claypool Publishers
ISBN: 1681735202
Size: 44.37 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : en
Pages : 198
View: 3355

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Multidimensional Mining Of Massive Text Data

by Chao Zhang, Multidimensional Mining Of Massive Text Data Books available in PDF, EPUB, Mobi Format. Download Multidimensional Mining Of Massive Text Data books, Unstructured text, as one of the most important data forms, plays a crucial role in data-driven decision making in domains ranging from social networking and information retrieval to scientific research and healthcare informatics. In many emerging applications, people's information need from text data is becoming multidimensional—they demand useful insights along multiple aspects from a text corpus. However, acquiring such multidimensional knowledge from massive text data remains a challenging task. This book presents data mining techniques that turn unstructured text data into multidimensional knowledge. We investigate two core questions. (1) How does one identify task-relevant text data with declarative queries in multiple dimensions? (2) How does one distill knowledge from text data in a multidimensional space? To address the above questions, we develop a text cube framework. First, we develop a cube construction module that organizes unstructured data into a cube structure, by discovering latent multidimensional and multi-granular structure from the unstructured text corpus and allocating documents into the structure. Second, we develop a cube exploitation module that models multiple dimensions in the cube space, thereby distilling from user-selected data multidimensional knowledge. Together, these two modules constitute an integrated pipeline: leveraging the cube structure, users can perform multidimensional, multigranular data selection with declarative queries; and with cube exploitation algorithms, users can extract multidimensional patterns from the selected data for decision making. The proposed framework has two distinctive advantages when turning text data into multidimensional knowledge: flexibility and label-efficiency. First, it enables acquiring multidimensional knowledge flexibly, as the cube structure allows users to easily identify task-relevant data along multiple dimensions at varied granularities and further distill multidimensional knowledge. Second, the algorithms for cube construction and exploitation require little supervision; this makes the framework appealing for many applications where labeled data are expensive to obtain.


Detecting Fake News On Social Media

Detecting Fake News on Social Media PDF
Author: Kai Shu
Publisher: Morgan & Claypool Publishers
ISBN: 1681735830
Size: 39.15 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 129
View: 2936

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Detecting Fake News On Social Media

by Kai Shu, Detecting Fake News On Social Media Books available in PDF, EPUB, Mobi Format. Download Detecting Fake News On Social Media books, In the past decade, social media has become increasingly popular for news consumption due to its easy access, fast dissemination, and low cost. However, social media also enables the wide propagation of "fake news," i.e., news with intentionally false information. Fake news on social media can have significant negative societal effects. Therefore, fake news detection on social media has recently become an emerging research area that is attracting tremendous attention. This book, from a data mining perspective, introduces the basic concepts and characteristics of fake news across disciplines, reviews representative fake news detection methods in a principled way, and illustrates challenging issues of fake news detection on social media. In particular, we discussed the value of news content and social context, and important extensions to handle early detection, weakly-supervised detection, and explainable detection. The concepts, algorithms, and methods described in this lecture can help harness the power of social media to build effective and intelligent fake news detection systems. This book is an accessible introduction to the study of detecting fake news on social media. It is an essential reading for students, researchers, and practitioners to understand, manage, and excel in this area. This book is supported by additional materials, including lecture slides, the complete set of figures, key references, datasets, tools used in this book, and the source code of representative algorithms.


Handbook Of Research On Text And Web Mining Technologies

Handbook of Research on Text and Web Mining Technologies PDF
Author: Song, Min
Publisher: IGI Global
ISBN: 1599049910
Size: 34.84 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : en
Pages : 901
View: 5549

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Handbook Of Research On Text And Web Mining Technologies

by Song, Min, Handbook Of Research On Text And Web Mining Technologies Books available in PDF, EPUB, Mobi Format. Download Handbook Of Research On Text And Web Mining Technologies books, Examines recent advances and surveys of applications in text and web mining which should be of interest to researchers and end-users alike.


Advances In Social Network Mining And Analysis

Advances in Social Network Mining and Analysis PDF
Author: C. Lee Giles
Publisher: Springer Science & Business Media
ISBN: 3642149286
Size: 34.11 MB
Format: PDF, ePub, Docs
Category : Computers
Languages : en
Pages : 131
View: 2973

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Advances In Social Network Mining And Analysis

by C. Lee Giles, Advances In Social Network Mining And Analysis Books available in PDF, EPUB, Mobi Format. Download Advances In Social Network Mining And Analysis books, This work constitutes the proceedings of the Second International Workshop on Advances in Social Network and Analysis, held in Las Vegas, NV, USA in August 2008.


Proceedings Of The Acm Workshop On Visualization And Data Mining For Computer Security

Proceedings of the     ACM Workshop on Visualization and Data Mining for Computer Security PDF
Author:
Publisher:
ISBN:
Size: 10.43 MB
Format: PDF, ePub, Docs
Category : Computer security
Languages : en
Pages : 148
View: 1683

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Proceedings Of The Acm Workshop On Visualization And Data Mining For Computer Security

by , Proceedings Of The Acm Workshop On Visualization And Data Mining For Computer Security Books available in PDF, EPUB, Mobi Format. Download Proceedings Of The Acm Workshop On Visualization And Data Mining For Computer Security books,


Intelligent Data Mining In Law Enforcement Analytics

Intelligent Data Mining in Law Enforcement Analytics PDF
Author: Paolo Massimo Buscema
Publisher: Springer Science & Business Media
ISBN: 9400749147
Size: 25.13 MB
Format: PDF, ePub, Docs
Category : Social Science
Languages : en
Pages : 518
View: 1082

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Intelligent Data Mining In Law Enforcement Analytics

by Paolo Massimo Buscema, Intelligent Data Mining In Law Enforcement Analytics Books available in PDF, EPUB, Mobi Format. Download Intelligent Data Mining In Law Enforcement Analytics books, This book provides a thorough summary of the means currently available to the investigators of Artificial Intelligence for making criminal behavior (both individual and collective) foreseeable, and for assisting their investigative capacities. The volume provides chapters on the introduction of artificial intelligence and machine learning suitable for an upper level undergraduate with exposure to mathematics and some programming skill or a graduate course. It also brings the latest research in Artificial Intelligence to life with its chapters on fascinating applications in the area of law enforcement, though much is also being accomplished in the fields of medicine and bioengineering. Individuals with a background in Artificial Intelligence will find the opening chapters to be an excellent refresher but the greatest excitement will likely be the law enforcement examples, for little has been done in that area. The editors have chosen to shine a bright light on law enforcement analytics utilizing artificial neural network technology to encourage other researchers to become involved in this very important and timely field of study.


Personal Analytics And Privacy An Individual And Collective Perspective

Personal Analytics and Privacy  An Individual and Collective Perspective PDF
Author: Riccardo Guidotti
Publisher: Springer
ISBN: 331971970X
Size: 38.61 MB
Format: PDF, ePub, Mobi
Category : Computers
Languages : en
Pages : 159
View: 1678

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Personal Analytics And Privacy An Individual And Collective Perspective

by Riccardo Guidotti, Personal Analytics And Privacy An Individual And Collective Perspective Books available in PDF, EPUB, Mobi Format. Download Personal Analytics And Privacy An Individual And Collective Perspective books, This book constitutes the thoroughly refereed post-conference proceedings of the First International Workshop on Personal Analytics and Privacy, PAP 2017, held in Skopje, Macedonia, in September 2017. The 14 papers presented together with 2 invited talks in this volume were carefully reviewed and selected for inclusion in this book and handle topics such as personal analytics, personal data mining and privacy in the context where real individual data are used for developing a data-driven service, for realizing a social study aimed at understanding nowadays society, and for publication purposes.