The Probabilistic Relevance Framework

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The Probabilistic Relevance Framework

Author : Stephen Robertson
Publisher : Now Publishers Inc
ISBN 13 : 1601983085
Total Pages : 69 pages
Book Rating : 4.6/5 (19 download)

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Book Synopsis The Probabilistic Relevance Framework by : Stephen Robertson

Download or read book The Probabilistic Relevance Framework written by Stephen Robertson and published by Now Publishers Inc. This book was released on 2009 with total page 69 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Probabilistic Relevance Framework (PRF) is a formal framework for document retrieval, grounded in work done in the 1970-80s, which led to the development of one of the most successful text-retrieval algorithms, BM25. In recent years, research in the PRF has yielded new retrieval models capable of taking into account structure and link-graph information. Again, this has led to one of the most successful web-search and corporate-search algorithms, BM25F. The Probabilistic Relevance Framework: BM25 and Beyond presents the PRF from a conceptual point of view, describing the probabilistic modelling assumptions behind the framework and the different ranking algorithms that result from its application: the binary independence model, relevance feedback models, BM25, BM25F. Besides presenting a full derivation of the PRF ranking algorithms, it provides many insights about document retrieval in general, and points to many open challenges in this area. It also discusses the relation between the PRF and other statistical models for IR, and covers some related topics, such as the use of non-textual features, and parameter optimization for models with free parameters. The Probabilistic Relevance Framework: BM25 and Beyond is self-contained and accessible to anyone with basic knowledge of probability and inference

Information Retrieval Models

Author : Thomas Roelleke
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1627050795
Total Pages : 163 pages
Book Rating : 4.6/5 (27 download)

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Book Synopsis Information Retrieval Models by : Thomas Roelleke

Download or read book Information Retrieval Models written by Thomas Roelleke and published by Morgan & Claypool Publishers. This book was released on 2013-07-01 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information Retrieval (IR) models are a core component of IR research and IR systems. The past decade brought a consolidation of the family of IR models, which by 2000 consisted of relatively isolated views on TF-IDF (Term-Frequency times Inverse-Document-Frequency) as the weighting scheme in the vector-space model (VSM), the probabilistic relevance framework (PRF), the binary independence retrieval (BIR) model, BM25 (Best-Match Version 25, the main instantiation of the PRF/BIR), and language modelling (LM). Also, the early 2000s saw the arrival of divergence from randomness (DFR). Regarding intuition and simplicity, though LM is clear from a probabilistic point of view, several people stated: "It is easy to understand TF-IDF and BM25. For LM, however, we understand the math, but we do not fully understand why it works." This book takes a horizontal approach gathering the foundations of TF-IDF, PRF, BIR, Poisson, BM25, LM, probabilistic inference networks (PIN's), and divergence-based models. The aim is to create a consolidated and balanced view on the main models. A particular focus of this book is on the "relationships between models." This includes an overview over the main frameworks (PRF, logical IR, VSM, generalized VSM) and a pairing of TF-IDF with other models. It becomes evident that TF-IDF and LM measure the same, namely the dependence (overlap) between document and query. The Poisson probability helps to establish probabilistic, non-heuristic roots for TF-IDF, and the Poisson parameter, average term frequency, is a binding link between several retrieval models and model parameters. Table of Contents: List of Figures / Preface / Acknowledgments / Introduction / Foundations of IR Models / Relationships Between IR Models / Summary & Research Outlook / Bibliography / Author's Biography / Index

Semantic Keyword-Based Search on Structured Data Sources

Author : Andrea Calì
Publisher : Springer
ISBN 13 : 3319536400
Total Pages : 197 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Semantic Keyword-Based Search on Structured Data Sources by : Andrea Calì

Download or read book Semantic Keyword-Based Search on Structured Data Sources written by Andrea Calì and published by Springer. This book was released on 2017-02-13 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the Second COST Action IC1302 International KEYSTONE Conference on Semantic Keyword-Based Search on Structured Data Sources, IKC 2016, held in Cluj-Napoca, Romania, in September 2016. The 15 revised full papers and 2 invited papers are reviewed and selected from 18 initial submissions and cover the areas of keyword extraction, natural language searches, graph databases, information retrieval techniques for keyword search and document retrieval.

Current Challenges in Patent Information Retrieval

Author : Mihai Lupu
Publisher : Springer
ISBN 13 : 3662538172
Total Pages : 455 pages
Book Rating : 4.6/5 (625 download)

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Book Synopsis Current Challenges in Patent Information Retrieval by : Mihai Lupu

Download or read book Current Challenges in Patent Information Retrieval written by Mihai Lupu and published by Springer. This book was released on 2017-03-24 with total page 455 pages. Available in PDF, EPUB and Kindle. Book excerpt: This second edition provides a systematic introduction to the work and views of the emerging patent-search research and innovation communities as well as an overview of what has been achieved and, perhaps even more importantly, of what remains to be achieved. It revises many of the contributions of the first edition and adds a significant number of new ones. The first part “Introduction to Patent Searching” includes two overview chapters on the peculiarities of patent searching and on contemporary search technology respectively, and thus sets the scene for the subsequent parts. The second part on “Evaluating Patent Retrieval” then begins with two chapters dedicated to patent evaluation campaigns, followed by two chapters discussing complementary issues from the perspective of patent searchers and from the perspective of related domains, notably legal search. “High Recall Search” includes four completely new chapters dealing with the issue of finding only the relevant documents in a reasonable time span. The last (and with six papers the largest) part on “Special Topics in Patent Information Retrieval” covers a large spectrum of research in the patent field, from classification and image processing to translation. Lastly, the book is completed by an outlook on open issues and future research. Several of the chapters have been jointly written by intellectual property and information retrieval experts. However, members of both communities with a background different to that of the primary author have reviewed the chapters, making the book accessible to both the patent search community and to the information retrieval research community. It also not only offers the latest findings for academic researchers, but is also a valuable resource for IP professionals wanting to learn about current IR approaches in the patent domain.

New Contributions in Information Systems and Technologies

Author : Alvaro Rocha
Publisher : Springer
ISBN 13 : 3319164864
Total Pages : 1218 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis New Contributions in Information Systems and Technologies by : Alvaro Rocha

Download or read book New Contributions in Information Systems and Technologies written by Alvaro Rocha and published by Springer. This book was released on 2015-03-25 with total page 1218 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains a selection of articles from The 2015 World Conference on Information Systems and Technologies (WorldCIST'15), held between the 1st and 3rd of April in Funchal, Madeira, Portugal, a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences and challenges of modern Information Systems and Technologies research, technological development and applications. The main topics covered are: Information and Knowledge Management; Organizational Models and Information Systems; Intelligent and Decision Support Systems; Big Data Analytics and Applications; Software Systems, Architectures, Applications and Tools; Multimedia Systems and Applications; Computer Networks, Mobility and Pervasive Systems; Human-Computer Interaction; Health Informatics; Information Technologies in Education; Information Technologies in Radio communications.

Mastering Elasticsearch 5.x

Author : Bharvi Dixit
Publisher : Packt Publishing Ltd
ISBN 13 : 1786468875
Total Pages : 423 pages
Book Rating : 4.7/5 (864 download)

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Book Synopsis Mastering Elasticsearch 5.x by : Bharvi Dixit

Download or read book Mastering Elasticsearch 5.x written by Bharvi Dixit and published by Packt Publishing Ltd. This book was released on 2017-02-21 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the intricacies of Elasticsearch 5 and use it to create flexible and scalable search solutions About This Book Master the searching, indexing, and aggregation features in ElasticSearch Improve users' search experience with Elasticsearch's functionalities and develop your own Elasticsearch plugins A comprehensive, step-by-step guide to master the intricacies of ElasticSearch with ease Who This Book Is For If you have some prior working experience with Elasticsearch and want to take your knowledge to the next level, this book will be the perfect resource for you.If you are a developer who wants to implement scalable search solutions with Elasticsearch, this book will also help you. Some basic knowledge of the query DSL and data indexing is required to make the best use of this book. What You Will Learn Understand Apache Lucene and Elasticsearch 5's design and architecture Use and configure the new and improved default text scoring mechanism in Apache Lucene 6 Know how to overcome the pitfalls while handling relational data in Elasticsearch Learn about choosing the right queries according to the use cases and master the scripting module including new default scripting language, painlessly Explore the right way of scaling production clusters to improve the performance of Elasticsearch Master the searching, indexing, and aggregation features in Elasticsearch Develop your own Elasticsearch plugins to extend the functionalities of Elasticsearch In Detail Elasticsearch is a modern, fast, distributed, scalable, fault tolerant, and open source search and analytics engine. Elasticsearch leverages the capabilities of Apache Lucene, and provides a new level of control over how you can index and search even huge sets of data. This book will give you a brief recap of the basics and also introduce you to the new features of Elasticsearch 5. We will guide you through the intermediate and advanced functionalities of Elasticsearch, such as querying, indexing, searching, and modifying data. We'll also explore advanced concepts, including aggregation, index control, sharding, replication, and clustering. We'll show you the modules of monitoring and administration available in Elasticsearch, and will also cover backup and recovery. You will get an understanding of how you can scale your Elasticsearch cluster to contextualize it and improve its performance. We'll also show you how you can create your own analysis plugin in Elasticsearch. By the end of the book, you will have all the knowledge necessary to master Elasticsearch and put it to efficient use. Style and approach This comprehensive guide covers intermediate and advanced concepts in Elasticsearch as well as their implementation. An easy-to-follow approach means you'll be able to master even advanced querying, searching, and administration tasks with ease.

Internet of Things. User-Centric IoT

Author : Raffaele Giaffreda
Publisher : Springer
ISBN 13 : 3319196561
Total Pages : 388 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Internet of Things. User-Centric IoT by : Raffaele Giaffreda

Download or read book Internet of Things. User-Centric IoT written by Raffaele Giaffreda and published by Springer. This book was released on 2015-06-25 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNICST 150 and 151 constitutes the thoroughly refereed post-conference proceedings of the First International Internet of Things Summit, IoT360 2014, held in Rome, Italy, in October 2014. This volume contains 74 full papers carefully reviewed and selected from 118 submissions at the following four conferences: the First International Conference on Cognitive Internet of Things Technologies, COIOTE 2014; the First International Conference on Pervasive Games, PERGAMES 2014; the First International Conference on IoT Technologies for HealthCare, HealthyIoT 2014; and the First International Conference on IoT as a Service, IoTaaS 2014. The papers cover the following topics: user-centric IoT; artificial intelligence techniques for the IoT; the design and deployment of pervasive games for various sectors, such as health and wellbeing, ambient assisted living, smart cities and societies, education, cultural heritage, and tourism; delivery of electronic healthcare; patient care and medical data management; smart objects; networking considerations for IoT; platforms for IoTaaS; adapting to the IoT environment; modeling IoTaaS; machine to machine support in IoT.

New Advances in Information Systems and Technologies

Author : Álvaro Rocha
Publisher : Springer
ISBN 13 : 3319312324
Total Pages : 1130 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis New Advances in Information Systems and Technologies by : Álvaro Rocha

Download or read book New Advances in Information Systems and Technologies written by Álvaro Rocha and published by Springer. This book was released on 2016-03-15 with total page 1130 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains a selection of articles from The 2016 World Conference on Information Systems and Technologies (WorldCIST'16), held between the 22nd and 24th of March at Recife, Pernambuco, Brazil. WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences and challenges of modern Information Systems and Technologies research, together with their technological development and applications. The main topics covered are: Information and Knowledge Management; Organizational Models and Information Systems; Software and Systems Modeling; Software Systems, Architectures, Applications and Tools; Multimedia Systems and Applications; Computer Networks, Mobility and Pervasive Systems; Intelligent and Decision Support Systems; Big Data Analytics and Applications; Human-Computer Interaction; Health Informatics; Information Technologies in Education; Information Technologies in Radiocommunications.

Mining Intelligence and Knowledge Exploration

Author : Rajendra Prasath
Publisher : Springer
ISBN 13 : 3319138170
Total Pages : 426 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Mining Intelligence and Knowledge Exploration by : Rajendra Prasath

Download or read book Mining Intelligence and Knowledge Exploration written by Rajendra Prasath and published by Springer. This book was released on 2014-12-01 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the Second International Conference on Mining Intelligence and Knowledge Exploration, MIKE 2014, held in Cork, Ireland, in December 2014. The 40 papers presented were carefully reviewed and selected from 69 submissions. The papers cover topics such as information retrieval, feature selection, classification, clustering, image processing, network security, speech processing, machine learning, recommender systems, natural language processing, language, cognition and computation, and business intelligence.

Information Retrieval Technology

Author : Mohamed Vall Mohamed Salem
Publisher : Springer Science & Business Media
ISBN 13 : 3642256309
Total Pages : 639 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Information Retrieval Technology by : Mohamed Vall Mohamed Salem

Download or read book Information Retrieval Technology written by Mohamed Vall Mohamed Salem and published by Springer Science & Business Media. This book was released on 2011-12-02 with total page 639 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 7th Asia Information Retrieval Societies Conference AIRS 2011, held in Dubai, United Arab Emirates, in December 2011. The 31 revised full papers and 25 revised poster papers presented were carefully reviewed and selected from 132 submissions. All current aspects of information retrieval - in theory and practice - are addressed; the papers are organized in topical sections on information retrieval models and theories; information retrieval applications and multimedia information retrieval; user study, information retrieval evaluation and interactive information retrieval; Web information retrieval, scalability and adversarial information retrieval; machine learning for information retrieval; natural language processing for information retrieval; arabic script text processing and retrieval.

Process-oriented Semantic Web Search

Author : D.T. Tran
Publisher : IOS Press
ISBN 13 : 1614993440
Total Pages : 243 pages
Book Rating : 4.6/5 (149 download)

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Book Synopsis Process-oriented Semantic Web Search by : D.T. Tran

Download or read book Process-oriented Semantic Web Search written by D.T. Tran and published by IOS Press. This book was released on 2011-02-22 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is composed of two main parts. The first part is a general study of Semantic Web Search. The second part specifically focuses on the use of semantics throughout the search process, compiling a big picture of Process-oriented Semantic Web Search from different pieces of work that target specific aspects of the process. In particular, this book provides a rigorous account of the concepts and technologies proposed for searching resources and semantic data on the Semantic Web. To collate the various approaches and to better understand what the notion of Semantic Web Search entails, this book presents a general Semantic Web Search model. With respect to this model, the book provides a comprehensive discussion of the state-of-the-art. It elaborates on approaches for crawling, managing and searching Semantic Web resources as well as the various schemes proposed for ranking search results. Besides these specific approaches, search is also studied in a general multi-data-source scenario. This shall demonstrate how this work on search is extended and applied to the Web setting. A major feature of the book is that it considers search and the use of semantics for search also from a process point of view. Extending the general model, the book introduces the notion of Process-oriented Semantic Web Search, where semantics is exploited throughout the entire search process – from query construction to query processing up to result presentation and query refinement. Specific pieces of work targeting these individual steps of the process are combined to form a coherent and consistent picture of Process-oriented Semantic Web Search. In order to convey this general notion as well as the specific concepts and technologies developed for supporting the search process, this book presents a compilation of work called SemSearchPro and provides detailed descriptions on the underlying approaches.

Information Retrieval Models

Author : Thomas Roelleke
Publisher : Springer Nature
ISBN 13 : 3031023285
Total Pages : 141 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Information Retrieval Models by : Thomas Roelleke

Download or read book Information Retrieval Models written by Thomas Roelleke and published by Springer Nature. This book was released on 2022-05-31 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information Retrieval (IR) models are a core component of IR research and IR systems. The past decade brought a consolidation of the family of IR models, which by 2000 consisted of relatively isolated views on TF-IDF (Term-Frequency times Inverse-Document-Frequency) as the weighting scheme in the vector-space model (VSM), the probabilistic relevance framework (PRF), the binary independence retrieval (BIR) model, BM25 (Best-Match Version 25, the main instantiation of the PRF/BIR), and language modelling (LM). Also, the early 2000s saw the arrival of divergence from randomness (DFR). Regarding intuition and simplicity, though LM is clear from a probabilistic point of view, several people stated: "It is easy to understand TF-IDF and BM25. For LM, however, we understand the math, but we do not fully understand why it works." This book takes a horizontal approach gathering the foundations of TF-IDF, PRF, BIR, Poisson, BM25, LM, probabilistic inference networks (PIN's), and divergence-based models. The aim is to create a consolidated and balanced view on the main models. A particular focus of this book is on the "relationships between models." This includes an overview over the main frameworks (PRF, logical IR, VSM, generalized VSM) and a pairing of TF-IDF with other models. It becomes evident that TF-IDF and LM measure the same, namely the dependence (overlap) between document and query. The Poisson probability helps to establish probabilistic, non-heuristic roots for TF-IDF, and the Poisson parameter, average term frequency, is a binding link between several retrieval models and model parameters. Table of Contents: List of Figures / Preface / Acknowledgments / Introduction / Foundations of IR Models / Relationships Between IR Models / Summary & Research Outlook / Bibliography / Author's Biography / Index

Text Mining with MATLAB®

Author : Rafael E. Banchs
Publisher : Springer Nature
ISBN 13 : 3030876950
Total Pages : 472 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Text Mining with MATLAB® by : Rafael E. Banchs

Download or read book Text Mining with MATLAB® written by Rafael E. Banchs and published by Springer Nature. This book was released on 2021-10-21 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Text Mining with MATLAB® provides a comprehensive introduction to text mining using MATLAB. It is designed to help text mining practitioners, as well as those with little-to-no experience with text mining in general, familiarize themselves with MATLAB and its complex applications. The book is structured in three main parts: The first part, Fundamentals, introduces basic procedures and methods for manipulating and operating with text within the MATLAB programming environment. The second part of the book, Mathematical Models, is devoted to motivating, introducing, and explaining the two main paradigms of mathematical models most commonly used for representing text data: the statistical and the geometrical approach. Eventually, the third part of the book, Techniques and Applications, addresses general problems in text mining and natural language processing applications such as document categorization, document search, content analysis, summarization, question answering, and conversational systems. This second edition includes updates in line with the recently released “Text Analytics Toolbox” within the MATLAB product and introduces three new chapters and six new sections in existing ones. All descriptions presented are supported with practical examples that are fully reproducible. Further reading, as well as additional exercises and projects, are proposed at the end of each chapter for those readers interested in conducting further experimentation.

Information Retrieval

Author : Stefan Buttcher
Publisher : MIT Press
ISBN 13 : 0262528878
Total Pages : 633 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis Information Retrieval by : Stefan Buttcher

Download or read book Information Retrieval written by Stefan Buttcher and published by MIT Press. This book was released on 2016-02-12 with total page 633 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to information retrieval, the foundation for modern search engines, that emphasizes implementation and experimentation. Information retrieval is the foundation for modern search engines. This textbook offers an introduction to the core topics underlying modern search technologies, including algorithms, data structures, indexing, retrieval, and evaluation. The emphasis is on implementation and experimentation; each chapter includes exercises and suggestions for student projects. Wumpus—a multiuser open-source information retrieval system developed by one of the authors and available online—provides model implementations and a basis for student work. The modular structure of the book allows instructors to use it in a variety of graduate-level courses, including courses taught from a database systems perspective, traditional information retrieval courses with a focus on IR theory, and courses covering the basics of Web retrieval. In addition to its classroom use, Information Retrieval will be a valuable reference for professionals in computer science, computer engineering, and software engineering.

Introduction to Information Retrieval and Quantum Mechanics

Author : Massimo Melucci
Publisher : Springer
ISBN 13 : 3662483130
Total Pages : 247 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Introduction to Information Retrieval and Quantum Mechanics by : Massimo Melucci

Download or read book Introduction to Information Retrieval and Quantum Mechanics written by Massimo Melucci and published by Springer. This book was released on 2015-12-08 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the quantum mechanical framework to information retrieval scientists seeking a new perspective on foundational problems. As such, it concentrates on the main notions of the quantum mechanical framework and describes an innovative range of concepts and tools for modeling information representation and retrieval processes. The book is divided into four chapters. Chapter 1 illustrates the main modeling concepts for information retrieval (including Boolean logic, vector spaces, probabilistic models, and machine-learning based approaches), which will be examined further in subsequent chapters. Next, chapter 2 briefly explains the main concepts of the quantum mechanical framework, focusing on approaches linked to information retrieval such as interference, superposition and entanglement. Chapter 3 then reviews the research conducted at the intersection between information retrieval and the quantum mechanical framework. The chapter is subdivided into a number of topics, and each description ends with a section suggesting the most important reference resources. Lastly, chapter 4 offers suggestions for future research, briefly outlining the most essential and promising research directions to fully leverage the quantum mechanical framework for effective and efficient information retrieval systems. This book is especially intended for researchers working in information retrieval, database systems and machine learning who want to acquire a clear picture of the potential offered by the quantum mechanical framework in their own research area. Above all, the book offers clear guidance on whether, why and when to effectively use the mathematical formalism and the concepts of the quantum mechanical framework to address various foundational issues in information retrieval.

Advances in Databases and Information Systems

Author : Tatjana Welzer
Publisher : Springer Nature
ISBN 13 : 3030287300
Total Pages : 463 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Advances in Databases and Information Systems by : Tatjana Welzer

Download or read book Advances in Databases and Information Systems written by Tatjana Welzer and published by Springer Nature. This book was released on 2019-08-28 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 23rd European Conference on Advances in Databases and Information Systems, ADBIS 2019, held in Bled, Slovenia, in September 2019. The 27 full papers presented were carefully reviewed and selected from 103 submissions. The papers cover a wide range of topics from different areas of research in database and information systems technologies and their advanced applications from theoretical foundations to optimizing index structures. They focus on data mining and machine learning, data warehouses and big data technologies, semantic data processing, and data modeling. They are organized in the following topical sections: data mining; machine learning; document and text databases; big data; novel applications; ontologies and knowledge management; process mining and stream processing; data quality; optimization; theoretical foundation and new requirements; and data warehouses.

Hybrid Artificial Intelligent Systems

Author : Pablo García Bringas
Publisher : Springer Nature
ISBN 13 : 3031154711
Total Pages : 523 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Hybrid Artificial Intelligent Systems by : Pablo García Bringas

Download or read book Hybrid Artificial Intelligent Systems written by Pablo García Bringas and published by Springer Nature. This book was released on 2022-09-11 with total page 523 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 17th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2022, held in Salamanca, Spain, in September 2022. The 43 full papers presented in this book were carefully reviewed and selected from 67 submissions. They were organized in topical sections as follows: bioinformatics; data mining and decision support systems; deep learning; evolutionary computation; HAIS applications; image and speech signal processing; and optimization techniques.