Projection-Based Clustering Through Self-Organization and Swarm Intelligence

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Publisher :
ISBN 13 : 9781013269905
Total Pages : 210 pages
Book Rating : 4.2/5 (699 download)

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Book Synopsis Projection-Based Clustering Through Self-Organization and Swarm Intelligence by : Michael Christoph Thrun

Download or read book Projection-Based Clustering Through Self-Organization and Swarm Intelligence written by Michael Christoph Thrun and published by . This book was released on 2020-10-08 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers aspects of unsupervised machine learning used for knowledge discovery in data science and introduces a data-driven approach to cluster analysis, the Databionic swarm (DBS). DBS consists of the 3D landscape visualization and clustering of data. The 3D landscape enables 3D printing of high-dimensional data structures.The clustering and number of clusters or an absence of cluster structure are verified by the 3D landscape at a glance. DBS is the first swarm-based technique that shows emergent properties while exploiting concepts of swarm intelligence, self-organization and the Nash equilibrium concept from game theory. It results in the elimination of a global objective function and the setting of parameters. By downloading the R package DBS can be applied to data drawn from diverse research fields and used even by non-professionals in the field of data mining. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.

Projection-Based Clustering Through Self-Organization and Swarm Intelligence

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Publisher :
ISBN 13 : 9781013269912
Total Pages : 210 pages
Book Rating : 4.2/5 (699 download)

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Book Synopsis Projection-Based Clustering Through Self-Organization and Swarm Intelligence by : Michael Christoph Thrun

Download or read book Projection-Based Clustering Through Self-Organization and Swarm Intelligence written by Michael Christoph Thrun and published by . This book was released on 2020-10-08 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers aspects of unsupervised machine learning used for knowledge discovery in data science and introduces a data-driven approach to cluster analysis, the Databionic swarm (DBS). DBS consists of the 3D landscape visualization and clustering of data. The 3D landscape enables 3D printing of high-dimensional data structures.The clustering and number of clusters or an absence of cluster structure are verified by the 3D landscape at a glance. DBS is the first swarm-based technique that shows emergent properties while exploiting concepts of swarm intelligence, self-organization and the Nash equilibrium concept from game theory. It results in the elimination of a global objective function and the setting of parameters. By downloading the R package DBS can be applied to data drawn from diverse research fields and used even by non-professionals in the field of data mining. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.

Projection-Based Clustering through Self-Organization and Swarm Intelligence

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Publisher : Springer
ISBN 13 : 3658205407
Total Pages : 201 pages
Book Rating : 4.6/5 (582 download)

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Book Synopsis Projection-Based Clustering through Self-Organization and Swarm Intelligence by : Michael Christoph Thrun

Download or read book Projection-Based Clustering through Self-Organization and Swarm Intelligence written by Michael Christoph Thrun and published by Springer. This book was released on 2018-01-09 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is published open access under a CC BY 4.0 license. It covers aspects of unsupervised machine learning used for knowledge discovery in data science and introduces a data-driven approach to cluster analysis, the Databionic swarm (DBS). DBS consists of the 3D landscape visualization and clustering of data. The 3D landscape enables 3D printing of high-dimensional data structures. The clustering and number of clusters or an absence of cluster structure are verified by the 3D landscape at a glance. DBS is the first swarm-based technique that shows emergent properties while exploiting concepts of swarm intelligence, self-organization and the Nash equilibrium concept from game theory. It results in the elimination of a global objective function and the setting of parameters. By downloading the R package DBS can be applied to data drawn from diverse research fields and used even by non-professionals in the field of data mining.

KI 2020: Advances in Artificial Intelligence

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Publisher : Springer Nature
ISBN 13 : 303058285X
Total Pages : 367 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis KI 2020: Advances in Artificial Intelligence by : Ute Schmid

Download or read book KI 2020: Advances in Artificial Intelligence written by Ute Schmid and published by Springer Nature. This book was released on 2020-09-08 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 43rd German Conference on Artificial Intelligence, KI 2020, held in Bamberg, Germany, in September 2020. The 16 full and 12 short papers presented together with 6 extended abstracts in this volume were carefully reviewed and selected from 62 submissions. As well-established annual conference series KI is dedicated to research on theory and applications across all methods and topic areas of AI research. KI 2020 had a special focus on human-centered AI with highlights on AI and education and explainable machine learning. Due to the Corona pandemic KI 2020 was held as a virtual event.

Information Systems and Technologies

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Publisher : Springer Nature
ISBN 13 : 3031048261
Total Pages : 722 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Information Systems and Technologies by : Alvaro Rocha

Download or read book Information Systems and Technologies written by Alvaro Rocha and published by Springer Nature. This book was released on 2022-05-10 with total page 722 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the following main topics: A) information and knowledge management; B) organizational models and information systems; C) software and systems modeling; D) software systems, architectures, applications and tools; E) multimedia systems and applications; F) computer networks, mobility and pervasive systems; G) intelligent and decision support systems; H) big data analytics and applications; I) human–computer interaction; J) ethics, computers and security; K) health informatics; L) information technologies in education; M) information technologies in radio communications; N) technologies for biomedical applications. This book is composed by a selection of articles from The 2022 World Conference on Information Systems and Technologies (WorldCIST'22), held between April 12 and 14, in Budva, Montenegro. 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.

Collaborative Computing: Networking, Applications and Worksharing

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Publisher : Springer Nature
ISBN 13 : 3030675408
Total Pages : 588 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Collaborative Computing: Networking, Applications and Worksharing by : Honghao Gao

Download or read book Collaborative Computing: Networking, Applications and Worksharing written by Honghao Gao and published by Springer Nature. This book was released on 2021-01-21 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set constitutes the refereed proceedings of the 16th International Conference on Collaborative Computing: Networking, Applications, and Worksharing, CollaborateCom 2020, held in Shanghai, China, in October 2020. The 61 full papers and 16 short papers presented were carefully reviewed and selected from 211 submissions. The papers reflect the conference sessions as follows: Collaborative Applications for Network and E-Commerce; Optimization for Collaborate System; Cloud and Edge Computing; Artificial Intelligence; AI Application and Optimization; Classification and Recommendation; Internet of Things; Collaborative Robotics and Autonomous Systems; Smart Transportation.

Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2020

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Publisher : Springer Nature
ISBN 13 : 3030586693
Total Pages : 893 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2020 by : Aboul Ella Hassanien

Download or read book Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2020 written by Aboul Ella Hassanien and published by Springer Nature. This book was released on 2020-09-19 with total page 893 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the 6th International Conference on Advanced Intelligent Systems and Informatics 2020 (AISI2020), which took place in Cairo, Egypt, from October 19 to 21, 2020. This international and interdisciplinary conference, which highlighted essential research and developments in the fields of informatics and intelligent systems, was organized by the Scientific Research Group in Egypt (SRGE). The book is divided into several sections, covering the following topics: Intelligent Systems, Deep Learning Technology, Document and Sentiment Analysis, Blockchain and Cyber Physical System, Health Informatics and AI against COVID-19, Data Mining, Power and Control Systems, Business Intelligence, Social Media and Digital Transformation, Robotic, Control Design, and Smart Systems.

Swarm Intelligence

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Publisher : Oxford University Press
ISBN 13 : 0190208198
Total Pages : 322 pages
Book Rating : 4.1/5 (92 download)

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Book Synopsis Swarm Intelligence by : Eric Bonabeau

Download or read book Swarm Intelligence written by Eric Bonabeau and published by Oxford University Press. This book was released on 1999-09-23 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Social insects--ants, bees, termites, and wasps--can be viewed as powerful problem-solving systems with sophisticated collective intelligence. Composed of simple interacting agents, this intelligence lies in the networks of interactions among individuals and between individuals and the environment. A fascinating subject, social insects are also a powerful metaphor for artificial intelligence, and the problems they solve--finding food, dividing labor among nestmates, building nests, responding to external challenges--have important counterparts in engineering and computer science. This book provides a detailed look at models of social insect behavior and how to apply these models in the design of complex systems. The book shows how these models replace an emphasis on control, preprogramming, and centralization with designs featuring autonomy, emergence, and distributed functioning. These designs are proving immensely flexible and robust, able to adapt quickly to changing environments and to continue functioning even when individual elements fail. In particular, these designs are an exciting approach to the tremendous growth of complexity in software and information. Swarm Intelligence draws on up-to-date research from biology, neuroscience, artificial intelligence, robotics, operations research, and computer graphics, and each chapter is organized around a particular biological example, which is then used to develop an algorithm, a multiagent system, or a group of robots. The book will be an invaluable resource for a broad range of disciplines.

Data Clustering: Theory, Algorithms, and Applications, Second Edition

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Publisher : SIAM
ISBN 13 : 1611976332
Total Pages : 430 pages
Book Rating : 4.6/5 (119 download)

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Book Synopsis Data Clustering: Theory, Algorithms, and Applications, Second Edition by : Guojun Gan

Download or read book Data Clustering: Theory, Algorithms, and Applications, Second Edition written by Guojun Gan and published by SIAM. This book was released on 2020-11-10 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data clustering, also known as cluster analysis, is an unsupervised process that divides a set of objects into homogeneous groups. Since the publication of the first edition of this monograph in 2007, development in the area has exploded, especially in clustering algorithms for big data and open-source software for cluster analysis. This second edition reflects these new developments, covers the basics of data clustering, includes a list of popular clustering algorithms, and provides program code that helps users implement clustering algorithms. Data Clustering: Theory, Algorithms and Applications, Second Edition will be of interest to researchers, practitioners, and data scientists as well as undergraduate and graduate students.

Selforganizology

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Publisher : World Scientific
ISBN 13 : 9814699500
Total Pages : 300 pages
Book Rating : 4.8/5 (146 download)

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Book Synopsis Selforganizology by : WenJun Zhang

Download or read book Selforganizology written by WenJun Zhang and published by World Scientific. This book was released on 2015-11-27 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: This invaluable book is the first of its kind on "selforganizology", the science of self-organization. It covers a wide range of topics, such as the theory, principle and methodology of selforganizology, agent-based modelling, intelligence basis, ant colony optimization, fish/particle swarm optimization, cellular automata, spatial diffusion models, evolutionary algorithms, self-adaptation and control systems, self-organizing neural networks, catastrophe theory and methods, and self-organization of biological communities, etc. Readers will have an in-depth and comprehensive understanding of selforganizology, with detailed background information provided for those who wish to delve deeper into the subject and explore research literature. This book is a valuable reference for research scientists, university teachers, graduate students and high-level undergraduates in the areas of computational science, artificial intelligence, applied mathematics, engineering science, social science and life sciences. Contents:Organization and Organizational TheorySelforganizology: The Science of Self-organizationAgent-based ModelingIntelligence PrinciplesCatastrophe Theory and MethodsSelf-adaptation and Control SystemsCellular Automata and Spatial Diffusion ModelsArtificial Neural NetworksAnt Colony OptimizationFish and Particle Swarm OptimizationSynergy, Coevolution, and Evolutionary AlgorithmsSynergy: Correlation AnalysisCommunity Succession and AssemblyMathematical Foundations Readership: Research scientists, university teachers, graduate students and high-level undergraduates in the areas of computational science, artificial intelligence, applied mathematics, engineering science, social science and life sciences. Key Features:This book is the first monograph on "selforganizology" in the world, with no competing titlesThe author is a prominent scientist, who is the editor-in-chief of six international journals, including SelforganizologyKeywords:Selforganizology;Self-organization;Agent-based Modeling;Algorithms;Computational Intelligence;Ant Colony Optimization;Evolutionary Algorithms;Cellular Automata;Particle Swarm Optimization;Catastrophe Theory

Soft Computing for Knowledge Discovery and Data Mining

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Publisher : Springer Science & Business Media
ISBN 13 : 038769935X
Total Pages : 431 pages
Book Rating : 4.3/5 (876 download)

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Book Synopsis Soft Computing for Knowledge Discovery and Data Mining by : Oded Maimon

Download or read book Soft Computing for Knowledge Discovery and Data Mining written by Oded Maimon and published by Springer Science & Business Media. This book was released on 2007-10-25 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining is the science and technology of exploring large and complex bodies of data in order to discover useful patterns. It is extremely important because it enables modeling and knowledge extraction from abundant data availability. This book introduces soft computing methods extending the envelope of problems that data mining can solve efficiently. It presents practical soft-computing approaches in data mining and includes various real-world case studies with detailed results.

Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization

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Publisher : Springer
ISBN 13 : 3030196429
Total Pages : 342 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization by : Alfredo Vellido

Download or read book Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization written by Alfredo Vellido and published by Springer. This book was released on 2019-04-27 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers papers presented at the 13th International Workshop on Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization (WSOM+), which was held in Barcelona, Spain, from the 26th to the 28th of June 2019. Since being founded in 1997, the conference has showcased the state of the art in unsupervised machine learning methods related to the successful and widely used self-organizing map (SOM) method, and extending its scope to clustering and data visualization. In this installment of the AISC series, the reader will find theoretical research on SOM, LVQ and related methods, as well as numerous applications to problems in fields ranging from business and engineering to the life sciences. Given the scope of its coverage, the book will be of interest to machine learning researchers and practitioners in general and, more specifically, to those looking for the latest developments in unsupervised learning and data visualization.

Swarm Intelligence

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Publisher : BoD – Books on Demand
ISBN 13 : 3902613092
Total Pages : 550 pages
Book Rating : 4.9/5 (26 download)

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Book Synopsis Swarm Intelligence by : Felix Chan

Download or read book Swarm Intelligence written by Felix Chan and published by BoD – Books on Demand. This book was released on 2007-12-01 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the era globalisation the emerging technologies are governing engineering industries to a multifaceted state. The escalating complexity has demanded researchers to find the possible ways of easing the solution of the problems. This has motivated the researchers to grasp ideas from the nature and implant it in the engineering sciences. This way of thinking led to emergence of many biologically inspired algorithms that have proven to be efficient in handling the computationally complex problems with competence such as Genetic Algorithm (GA), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), etc. Motivated by the capability of the biologically inspired algorithms the present book on "Swarm Intelligence: Focus on Ant and Particle Swarm Optimization" aims to present recent developments and applications concerning optimization with swarm intelligence techniques. The papers selected for this book comprise a cross-section of topics that reflect a variety of perspectives and disciplinary backgrounds. In addition to the introduction of new concepts of swarm intelligence, this book also presented some selected representative case studies covering power plant maintenance scheduling; geotechnical engineering; design and machining tolerances; layout problems; manufacturing process plan; job-shop scheduling; structural design; environmental dispatching problems; wireless communication; water distribution systems; multi-plant supply chain; fault diagnosis of airplane engines; and process scheduling. I believe these 27 chapters presented in this book adequately reflect these topics.

Swarm Intelligence in Data Mining

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Publisher : Springer Science & Business Media
ISBN 13 : 3540349553
Total Pages : 276 pages
Book Rating : 4.5/5 (43 download)

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Book Synopsis Swarm Intelligence in Data Mining by : Ajith Abraham

Download or read book Swarm Intelligence in Data Mining written by Ajith Abraham and published by Springer Science & Business Media. This book was released on 2006-09-06 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume examines the application of swarm intelligence in data mining, addressing the issues of swarm intelligence and data mining using novel intelligent approaches. The book comprises 11 chapters including an introduction reviewing fundamental definitions and important research challenges. Important features include a detailed overview of swarm intelligence and data mining paradigms, focused coverage of timely, advanced data mining topics, state-of-the-art theoretical research and application developments and contributions by pioneers in the field.

Data Mining and Knowledge Discovery Handbook

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Publisher : Springer Science & Business Media
ISBN 13 : 0387098232
Total Pages : 1269 pages
Book Rating : 4.3/5 (87 download)

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Book Synopsis Data Mining and Knowledge Discovery Handbook by : Oded Maimon

Download or read book Data Mining and Knowledge Discovery Handbook written by Oded Maimon and published by Springer Science & Business Media. This book was released on 2010-09-10 with total page 1269 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book organizes key concepts, theories, standards, methodologies, trends, challenges and applications of data mining and knowledge discovery in databases. It first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. It also gives in-depth descriptions of data mining applications in various interdisciplinary industries.

Artificial Intelligence in Asset Management

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Publisher : CFA Institute Research Foundation
ISBN 13 : 195292703X
Total Pages : 95 pages
Book Rating : 4.9/5 (529 download)

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Book Synopsis Artificial Intelligence in Asset Management by : Söhnke M. Bartram

Download or read book Artificial Intelligence in Asset Management written by Söhnke M. Bartram and published by CFA Institute Research Foundation. This book was released on 2020-08-28 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) has grown in presence in asset management and has revolutionized the sector in many ways. It has improved portfolio management, trading, and risk management practices by increasing efficiency, accuracy, and compliance. In particular, AI techniques help construct portfolios based on more accurate risk and return forecasts and more complex constraints. Trading algorithms use AI to devise novel trading signals and execute trades with lower transaction costs. AI also improves risk modeling and forecasting by generating insights from new data sources. Finally, robo-advisors owe a large part of their success to AI techniques. Yet the use of AI can also create new risks and challenges, such as those resulting from model opacity, complexity, and reliance on data integrity.

Ant Colony Optimization and Swarm Intelligence

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Publisher : Springer
ISBN 13 : 3540875271
Total Pages : 416 pages
Book Rating : 4.5/5 (48 download)

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Book Synopsis Ant Colony Optimization and Swarm Intelligence by : Marco Dorigo

Download or read book Ant Colony Optimization and Swarm Intelligence written by Marco Dorigo and published by Springer. This book was released on 2008-09-20 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: The series of biannual international conferences “ANTS – International C- ference on Ant Colony Optimization and Swarm Intelligence”, now in its sixth edition, was started ten years ago, with the organization of ANTS’98. As some readers might recall, the ?rst edition of ANTS was titled “ANTS’98 – From Ant Colonies to Arti?cial Ants: First International Workshop on Ant Colony Op- mization. ” In fact, at that time the focus was mainly on ant colony optimization (ACO), the ?rst swarm intelligence algorithm to go beyond a pure scienti?c interest and to enter the realm of real-world applications. Interestingly, in the ten years after the ?rst edition there has been a gr- ing interest not only for ACO, but for a number of other studies that belong more generally to the area of swarmintelligence. The rapid growth of the swarm intelligence ?eld is attested by a number of indicators. First, the number of s- missions and participants to the ANTS conferences has steadily increased over the years. Second, a number of international conferences in computational - telligence and related disciplines organize workshops on subjects such as swarm intelligence, ant algorithms, ant colony optimization, and particle swarm op- mization. Third, IEEE startedorganizing,in 2003,the IEEE SwarmIntelligence Symposium (in order to maintain unity in this growing ?eld, we are currently establishingacooperationagreementbetweenIEEE SISandANTSsoastohave 1 IEEE SIS in odd years and ANTS in even years). Last, the Swarm Intelligence journal was born.