Entity Resolution In The Web Of Data

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Entity Resolution in the Web of Data

Author : Vassilis Christophides
Publisher : Springer Nature
ISBN 13 : 3031794680
Total Pages : 106 pages
Book Rating : 4.0/5 (317 download)

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Book Synopsis Entity Resolution in the Web of Data by : Vassilis Christophides

Download or read book Entity Resolution in the Web of Data written by Vassilis Christophides and published by Springer Nature. This book was released on 2022-05-31 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, several knowledge bases have been built to enable large-scale knowledge sharing, but also an entity-centric Web search, mixing both structured data and text querying. These knowledge bases offer machine-readable descriptions of real-world entities, e.g., persons, places, published on the Web as Linked Data. However, due to the different information extraction tools and curation policies employed by knowledge bases, multiple, complementary and sometimes conflicting descriptions of the same real-world entities may be provided. Entity resolution aims to identify different descriptions that refer to the same entity appearing either within or across knowledge bases. The objective of this book is to present the new entity resolution challenges stemming from the openness of the Web of data in describing entities by an unbounded number of knowledge bases, the semantic and structural diversity of the descriptions provided across domains even for the same real-world entities, as well as the autonomy of knowledge bases in terms of adopted processes for creating and curating entity descriptions. The scale, diversity, and graph structuring of entity descriptions in the Web of data essentially challenge how two descriptions can be effectively compared for similarity, but also how resolution algorithms can efficiently avoid examining pairwise all descriptions. The book covers a wide spectrum of entity resolution issues at the Web scale, including basic concepts and data structures, main resolution tasks and workflows, as well as state-of-the-art algorithmic techniques and experimental trade-offs.

Data Matching

Author : Peter Christen
Publisher : Springer Science & Business Media
ISBN 13 : 3642311644
Total Pages : 279 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Data Matching by : Peter Christen

Download or read book Data Matching written by Peter Christen and published by Springer Science & Business Media. This book was released on 2012-07-04 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data matching (also known as record or data linkage, entity resolution, object identification, or field matching) is the task of identifying, matching and merging records that correspond to the same entities from several databases or even within one database. Based on research in various domains including applied statistics, health informatics, data mining, machine learning, artificial intelligence, database management, and digital libraries, significant advances have been achieved over the last decade in all aspects of the data matching process, especially on how to improve the accuracy of data matching, and its scalability to large databases. Peter Christen’s book is divided into three parts: Part I, “Overview”, introduces the subject by presenting several sample applications and their special challenges, as well as a general overview of a generic data matching process. Part II, “Steps of the Data Matching Process”, then details its main steps like pre-processing, indexing, field and record comparison, classification, and quality evaluation. Lastly, part III, “Further Topics”, deals with specific aspects like privacy, real-time matching, or matching unstructured data. Finally, it briefly describes the main features of many research and open source systems available today. By providing the reader with a broad range of data matching concepts and techniques and touching on all aspects of the data matching process, this book helps researchers as well as students specializing in data quality or data matching aspects to familiarize themselves with recent research advances and to identify open research challenges in the area of data matching. To this end, each chapter of the book includes a final section that provides pointers to further background and research material. Practitioners will better understand the current state of the art in data matching as well as the internal workings and limitations of current systems. Especially, they will learn that it is often not feasible to simply implement an existing off-the-shelf data matching system without substantial adaption and customization. Such practical considerations are discussed for each of the major steps in the data matching process.

Entity Resolution in the Web of Data

Author : Vassilis Christophides
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1627058044
Total Pages : 124 pages
Book Rating : 4.6/5 (27 download)

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Book Synopsis Entity Resolution in the Web of Data by : Vassilis Christophides

Download or read book Entity Resolution in the Web of Data written by Vassilis Christophides and published by Morgan & Claypool Publishers. This book was released on 2015-08-01 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, several knowledge bases have been built to enable large-scale knowledge sharing, but also an entity-centric Web search, mixing both structured data and text querying. These knowledge bases offer machine-readable descriptions of real-world entities, e.g., persons, places, published on the Web as Linked Data. However, due to the different information extraction tools and curation policies employed by knowledge bases, multiple, complementary and sometimes conflicting descriptions of the same real-world entities may be provided. Entity resolution aims to identify different descriptions that refer to the same entity appearing either within or across knowledge bases. The objective of this book is to present the new entity resolution challenges stemming from the openness of the Web of data in describing entities by an unbounded number of knowledge bases, the semantic and structural diversity of the descriptions provided across domains even for the same real-world entities, as well as the autonomy of knowledge bases in terms of adopted processes for creating and curating entity descriptions. The scale, diversity, and graph structuring of entity descriptions in the Web of data essentially challenge how two descriptions can be effectively compared for similarity, but also how resolution algorithms can efficiently avoid examining pairwise all descriptions. The book covers a wide spectrum of entity resolution issues at the Web scale, including basic concepts and data structures, main resolution tasks and workflows, as well as state-of-the-art algorithmic techniques and experimental trade-offs.

Entity Resolution and Information Quality

Author : John R. Talburt
Publisher : Elsevier
ISBN 13 : 0123819733
Total Pages : 254 pages
Book Rating : 4.1/5 (238 download)

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Book Synopsis Entity Resolution and Information Quality by : John R. Talburt

Download or read book Entity Resolution and Information Quality written by John R. Talburt and published by Elsevier. This book was released on 2011-01-14 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: Entity Resolution and Information Quality presents topics and definitions, and clarifies confusing terminologies regarding entity resolution and information quality. It takes a very wide view of IQ, including its six-domain framework and the skills formed by the International Association for Information and Data Quality {IAIDQ). The book includes chapters that cover the principles of entity resolution and the principles of Information Quality, in addition to their concepts and terminology. It also discusses the Fellegi-Sunter theory of record linkage, the Stanford Entity Resolution Framework, and the Algebraic Model for Entity Resolution, which are the major theoretical models that support Entity Resolution. In relation to this, the book briefly discusses entity-based data integration (EBDI) and its model, which serve as an extension of the Algebraic Model for Entity Resolution. There is also an explanation of how the three commercial ER systems operate and a description of the non-commercial open-source system known as OYSTER. The book concludes by discussing trends in entity resolution research and practice. Students taking IT courses and IT professionals will find this book invaluable. First authoritative reference explaining entity resolution and how to use it effectively Provides practical system design advice to help you get a competitive advantage Includes a companion site with synthetic customer data for applicatory exercises, and access to a Java-based Entity Resolution program.

Entity Resolution for Hidden Web Data

Author : Xiaoheng Xie
Publisher :
ISBN 13 :
Total Pages : 123 pages
Book Rating : 4.:/5 (844 download)

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Book Synopsis Entity Resolution for Hidden Web Data by : Xiaoheng Xie

Download or read book Entity Resolution for Hidden Web Data written by Xiaoheng Xie and published by . This book was released on 2012 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt:

The Four Generations of Entity Resolution

Author : George Papadakis
Publisher : Springer Nature
ISBN 13 : 3031018788
Total Pages : 152 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis The Four Generations of Entity Resolution by : George Papadakis

Download or read book The Four Generations of Entity Resolution written by George Papadakis and published by Springer Nature. This book was released on 2022-06-01 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: Entity Resolution (ER) lies at the core of data integration and cleaning and, thus, a bulk of the research examines ways for improving its effectiveness and time efficiency. The initial ER methods primarily target Veracity in the context of structured (relational) data that are described by a schema of well-known quality and meaning. To achieve high effectiveness, they leverage schema, expert, and/or external knowledge. Part of these methods are extended to address Volume, processing large datasets through multi-core or massive parallelization approaches, such as the MapReduce paradigm. However, these early schema-based approaches are inapplicable to Web Data, which abound in voluminous, noisy, semi-structured, and highly heterogeneous information. To address the additional challenge of Variety, recent works on ER adopt a novel, loosely schema-aware functionality that emphasizes scalability and robustness to noise. Another line of present research focuses on the additional challenge of Velocity, aiming to process data collections of a continuously increasing volume. The latest works, though, take advantage of the significant breakthroughs in Deep Learning and Crowdsourcing, incorporating external knowledge to enhance the existing words to a significant extent. This synthesis lecture organizes ER methods into four generations based on the challenges posed by these four Vs. For each generation, we outline the corresponding ER workflow, discuss the state-of-the-art methods per workflow step, and present current research directions. The discussion of these methods takes into account a historical perspective, explaining the evolution of the methods over time along with their similarities and differences. The lecture also discusses the available ER tools and benchmark datasets that allow expert as well as novice users to make use of the available solutions.

Unstructured Data Analysis

Author : Matthew Windham
Publisher : SAS Institute
ISBN 13 : 1635267099
Total Pages : 166 pages
Book Rating : 4.6/5 (352 download)

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Book Synopsis Unstructured Data Analysis by : Matthew Windham

Download or read book Unstructured Data Analysis written by Matthew Windham and published by SAS Institute. This book was released on 2018-09-14 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unstructured data is the most voluminous form of data in the world, and several elements are critical for any advanced analytics practitioner leveraging SAS software to effectively address the challenge of deriving value from that data. This book covers the five critical elements of entity extraction, unstructured data, entity resolution, entity network mapping and analysis, and entity management. By following examples of how to apply processing to unstructured data, readers will derive tremendous long-term value from this book as they enhance the value they realize from SAS products.

Entity Resolution for Large-Scale Databases

Author : Kunho Kim
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (111 download)

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Book Synopsis Entity Resolution for Large-Scale Databases by : Kunho Kim

Download or read book Entity Resolution for Large-Scale Databases written by Kunho Kim and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Entity resolution involves the problem of identifying, matching, and grouping the same entities from a single collection or multiple ones of data. Real-world databases often comprise data from multiple sources; hence, this process is an essential preprocessing step for correctly processing queries on a particular entity. An example of entity resolution is finding a person's medical records from multiple hospital records. In entity resolution, there commonly arise two main problems. One is the issue of disambiguation (or deduplication), which involves clustering records that correspond to the same entity within a database. The other problem is record linkage which involves matching records between multiple databases. In this dissertation, we focus on studying entity resolution on large-scale structured data such as CiteSeerX, PubMed and the United States Patent and Trademark Office (USPTO) patent database in several aspects. First, we review our proposed entity resolution framework, and discuss how to apply the framework on two practical problems; inventor name disambiguation on the USPTO patent database and financial entity record linkage. Second, we investigate building a web service to improve ease of using entity resolution results in several scenarios. We define two types of queries--attribute and record-based ones--and discuss how we design the web service to handle those queries efficiently. We demonstrate that our algorithm can accelerate the record-based query by a factor of 4.01 compared to a baseline naive approach. Third, we discuss improving the entity resolution in two directions. One direction is to improve the blocking method to reduce unnecessary comparison to improve scalability on author name disambiguation problems. We show that our proposed conjuctive normal form (CNF) blocking tested on the entire PubMed database of 80 million author mentions efficiently removes 82.17% of all author record pairs. Another direction is to improve accuracy; we study enhancing pairwise classification, which estimates the probability of a pair of records being from the same name entity. Our purposed hybrid method using both structure-aware and global features shows an improvement on mean average precision by up to 7.45% points. Finally, we discuss entity and attribute extraction. Entity extraction is important in terms of improving the input data quality for entity resolution and can also be used to extract useful entities from external sources. In this dissertation, we study the problem of extracting entities for task oriented spoken language understanding in human-to-human conversation scenarios. Our proposed bidirectional LSTM architecture with supplemental knowledge extracted from web data, search engine query logs, prior sentences, and task transfer demnstrates an improvement in F1-score by up to 2.92% compared to existing approaches.

Innovative Techniques and Applications of Entity Resolution

Author : Wang, Hongzhi
Publisher : IGI Global
ISBN 13 : 1466651997
Total Pages : 433 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Innovative Techniques and Applications of Entity Resolution by : Wang, Hongzhi

Download or read book Innovative Techniques and Applications of Entity Resolution written by Wang, Hongzhi and published by IGI Global. This book was released on 2014-02-28 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: Entity resolution is an essential tool in processing and analyzing data in order to draw precise conclusions from the information being presented. Further research in entity resolution is necessary to help promote information quality and improved data reporting in multidisciplinary fields requiring accurate data representation. Innovative Techniques and Applications of Entity Resolution draws upon interdisciplinary research on tools, techniques, and applications of entity resolution. This research work provides a detailed analysis of entity resolution applied to various types of data as well as appropriate techniques and applications and is appropriately designed for students, researchers, information professionals, and system developers.

Knowledge Graphs and Big Data Processing

Author : Valentina Janev
Publisher : Springer Nature
ISBN 13 : 3030531996
Total Pages : 212 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Knowledge Graphs and Big Data Processing by : Valentina Janev

Download or read book Knowledge Graphs and Big Data Processing written by Valentina Janev and published by Springer Nature. This book was released on 2020-07-15 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book is part of the LAMBDA Project (Learning, Applying, Multiplying Big Data Analytics), funded by the European Union, GA No. 809965. Data Analytics involves applying algorithmic processes to derive insights. Nowadays it is used in many industries to allow organizations and companies to make better decisions as well as to verify or disprove existing theories or models. The term data analytics is often used interchangeably with intelligence, statistics, reasoning, data mining, knowledge discovery, and others. The goal of this book is to introduce some of the definitions, methods, tools, frameworks, and solutions for big data processing, starting from the process of information extraction and knowledge representation, via knowledge processing and analytics to visualization, sense-making, and practical applications. Each chapter in this book addresses some pertinent aspect of the data processing chain, with a specific focus on understanding Enterprise Knowledge Graphs, Semantic Big Data Architectures, and Smart Data Analytics solutions. This book is addressed to graduate students from technical disciplines, to professional audiences following continuous education short courses, and to researchers from diverse areas following self-study courses. Basic skills in computer science, mathematics, and statistics are required.

Domain-Specific Knowledge Graph Construction

Author : Mayank Kejriwal
Publisher : Springer
ISBN 13 : 3030123758
Total Pages : 107 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Domain-Specific Knowledge Graph Construction by : Mayank Kejriwal

Download or read book Domain-Specific Knowledge Graph Construction written by Mayank Kejriwal and published by Springer. This book was released on 2019-03-04 with total page 107 pages. Available in PDF, EPUB and Kindle. Book excerpt: The vast amounts of ontologically unstructured information on the Web, including HTML, XML and JSON documents, natural language documents, tweets, blogs, markups, and even structured documents like CSV tables, all contain useful knowledge that can present a tremendous advantage to the Artificial Intelligence community if extracted robustly, efficiently and semi-automatically as knowledge graphs. Domain-specific Knowledge Graph Construction (KGC) is an active research area that has recently witnessed impressive advances due to machine learning techniques like deep neural networks and word embeddings. This book will synthesize Knowledge Graph Construction over Web Data in an engaging and accessible manner. The book will describe a timely topic for both early -and mid-career researchers. Every year, more papers continue to be published on knowledge graph construction, especially for difficult Web domains. This work would serve as a useful reference, as well as an accessible but rigorous overview of this body of work. The book will present interdisciplinary connections when possible to engage researchers looking for new ideas or synergies. This will allow the book to be marketed in multiple venues and conferences. The book will also appeal to practitioners in industry and data scientists since it will have chapters on both data collection, as well as a chapter on querying and off-the-shelf implementations. The author has, and continues to, present on this topic at large and important conferences. He plans to make the powerpoint he presents available as a supplement to the work. This will draw a natural audience for the book. Some of the reviewers are unsure about his position in the community but that seems to be more a function of his age rather than his relative expertise. I agree with some of the reviewers that the title is a little complicated. I would recommend “Domain Specific Knowledge Graphs”.

High Quality Entity Resolution with Adaptive Similarity Functions

Author : Rabia Turan
Publisher :
ISBN 13 : 9781124522081
Total Pages : 228 pages
Book Rating : 4.5/5 (22 download)

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Book Synopsis High Quality Entity Resolution with Adaptive Similarity Functions by : Rabia Turan

Download or read book High Quality Entity Resolution with Adaptive Similarity Functions written by Rabia Turan and published by . This book was released on 2011 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Real-world datasets often contain missing, erroneous, and duplicate data. If such problems with dataset are not corrected, the analysis results on it might lead to wrong decisions. Due to practical significance of the data quality problem, many creative techniques have been proposed in the past to address such problems. In this thesis, we address one such data cleaning challenge, called entity resolution that deals with ambiguous references in data and whose task is to identify all references that co-refer. In this thesis, we exploit additional information sources to improve the disambiguation quality and overcome the limitations of feature-based approaches. Implicit relationships between entities is one such information source. We exploit relationship analysis. The approach we utilize views data as an entity-relationship graph and rely on measuring the connection strength (CS) among various entities in the graph by using a connection strength model. We propose a new adaptive similarity function that improves the quality of these approaches by adaptively learning the CS measure using the available training data. Another information source is the web. We propose an approach that utilizes web querying to measure the correlation information between entities. We also develop a classifier that converts the web-based correlation statistics into ``co-refer'' or ``do-not-co-refer'' decisions. The classifier is based on skylines and leverages the fact that the classification results are utilized in clustering. Our extensive experiments show that the proposed techniques have significant improvement over the state-of-the-art approaches. Entity resolution solutions often produce results consisting of objects whose attributes may contain uncertainty. This uncertainty is frequently captured in the form of a set of multiple mutually exclusive value choices for each uncertain attribute along with a measure of probability for alternative values. However, the applications built on top of such data requires deterministic answers. Thus, we propose a linear time algorithm that finds a deterministic answer set, which maximizes the expected $F_\alpha$ measure of selection queries on top of such a probabilistic representation. The proposed solution gets near-optimal results.

International Conference on Information Technology and Communication Systems

Author : Gherabi Noreddine
Publisher : Springer
ISBN 13 : 3319647199
Total Pages : 376 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis International Conference on Information Technology and Communication Systems by : Gherabi Noreddine

Download or read book International Conference on Information Technology and Communication Systems written by Gherabi Noreddine and published by Springer. This book was released on 2017-12-01 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reports on advanced methods and theories in two related fields of research, Information Technology and Communication Systems. It provides professors, scientists, PhD students and engineers with a readily available guide to various approaches in Engineering Science. The book is divided into two major sections, the first of which covers Information Technology topics, including E-Learning, E-Government (egov), Data Mining, Text Mining, Ontologies, Semantic Similarity Databases, Multimedia Information Processing, and Applications. The second section addresses Communication Systems topics, including: Systems, Wireless and Network Computing, Software Security and Monitoring, Modern Antennas, and Smart Grids. The book gathers contributions presented at the International Conference on Information Technology and Communication Systems (ITCS 2017) held at the National School of Applied Sciences of Khouribga, Hassan 1st University, Morocco on March 28–29, 2017. This event was organized with the objective of bringing together researchers, developers, and practitioners from academia and industry working in all areas of Information Technology and Communication Systems. It not only highlights new methods, but also promotes collaborations between different communities working on related topics.

Semantic Processing of Legal Texts

Author : Enrico Francesconi
Publisher : Springer
ISBN 13 : 3642128378
Total Pages : 255 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Semantic Processing of Legal Texts by : Enrico Francesconi

Download or read book Semantic Processing of Legal Texts written by Enrico Francesconi and published by Springer. This book was released on 2010-05-10 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent years have seen much new research on the interface between artificial intelligence and law, looking at issues such as automated legal reasoning. This collection of papers represents the state of the art in this fascinating and highly topical field.

Entity Information Life Cycle for Big Data

Author : John R. Talburt
Publisher : Morgan Kaufmann
ISBN 13 : 012800665X
Total Pages : 255 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Entity Information Life Cycle for Big Data by : John R. Talburt

Download or read book Entity Information Life Cycle for Big Data written by John R. Talburt and published by Morgan Kaufmann. This book was released on 2015-04-20 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: Entity Information Life Cycle for Big Data walks you through the ins and outs of managing entity information so you can successfully achieve master data management (MDM) in the era of big data. This book explains big data’s impact on MDM and the critical role of entity information management system (EIMS) in successful MDM. Expert authors Dr. John R. Talburt and Dr. Yinle Zhou provide a thorough background in the principles of managing the entity information life cycle and provide practical tips and techniques for implementing an EIMS, strategies for exploiting distributed processing to handle big data for EIMS, and examples from real applications. Additional material on the theory of EIIM and methods for assessing and evaluating EIMS performance also make this book appropriate for use as a textbook in courses on entity and identity management, data management, customer relationship management (CRM), and related topics. Explains the business value and impact of entity information management system (EIMS) and directly addresses the problem of EIMS design and operation, a critical issue organizations face when implementing MDM systems Offers practical guidance to help you design and build an EIM system that will successfully handle big data Details how to measure and evaluate entity integrity in MDM systems and explains the principles and processes that comprise EIM Provides an understanding of features and functions an EIM system should have that will assist in evaluating commercial EIM systems Includes chapter review questions, exercises, tips, and free downloads of demonstrations that use the OYSTER open source EIM system Executable code (Java .jar files), control scripts, and synthetic input data illustrate various aspects of CSRUD life cycle such as identity capture, identity update, and assertions

An Introduction to Duplicate Detection

Author : Feliz Nauman
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1608452212
Total Pages : 87 pages
Book Rating : 4.6/5 (84 download)

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Book Synopsis An Introduction to Duplicate Detection by : Feliz Nauman

Download or read book An Introduction to Duplicate Detection written by Feliz Nauman and published by Morgan & Claypool Publishers. This book was released on 2010-05-05 with total page 87 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the ever increasing volume of data, data quality problems abound. Multiple, yet different representations of the same real-world objects in data, duplicates, are one of the most intriguing data quality problems. The effects of such duplicates are detrimental; for instance, bank customers can obtain duplicate identities, inventory levels are monitored incorrectly, catalogs are mailed multiple times to the same household, etc. Automatically detecting duplicates is difficult: First, duplicate representations are usually not identical but slightly differ in their values. Second, in principle all pairs of records should be compared, which is infeasible for large volumes of data. This lecture examines closely the two main components to overcome these difficulties: (i) Similarity measures are used to automatically identify duplicates when comparing two records. Well-chosen similarity measures improve the effectiveness of duplicate detection. (ii) Algorithms are developed to perform on very large volumes of data in search for duplicates. Well-designed algorithms improve the efficiency of duplicate detection. Finally, we discuss methods to evaluate the success of duplicate detection. Table of Contents: Data Cleansing: Introduction and Motivation / Problem Definition / Similarity Functions / Duplicate Detection Algorithms / Evaluating Detection Success / Conclusion and Outlook / Bibliography

Web Data Mining

Author : Bing Liu
Publisher : Springer Science & Business Media
ISBN 13 : 3642194605
Total Pages : 637 pages
Book Rating : 4.6/5 (421 download)

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Book Synopsis Web Data Mining by : Bing Liu

Download or read book Web Data Mining written by Bing Liu and published by Springer Science & Business Media. This book was released on 2011-06-25 with total page 637 pages. Available in PDF, EPUB and Kindle. Book excerpt: Liu has written a comprehensive text on Web mining, which consists of two parts. The first part covers the data mining and machine learning foundations, where all the essential concepts and algorithms of data mining and machine learning are presented. The second part covers the key topics of Web mining, where Web crawling, search, social network analysis, structured data extraction, information integration, opinion mining and sentiment analysis, Web usage mining, query log mining, computational advertising, and recommender systems are all treated both in breadth and in depth. His book thus brings all the related concepts and algorithms together to form an authoritative and coherent text. The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in Web mining and data mining both as a learning text and as a reference book. Professors can readily use it for classes on data mining, Web mining, and text mining. Additional teaching materials such as lecture slides, datasets, and implemented algorithms are available online.