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Preferences and Similarities by Giacomo Riccia,Didier Dubois,Hans-Joachim Lenz,Rudolf Kruse Pdf
The fields of similarity and preference are still broadening due to the exploration of new fields of application. This is caused by the strong impact of vagueness, imprecision, uncertainty and dominance on human and agent information, communication, planning, decision, action, and control as well as by the technical progress of the information technology itself. The topics treated in this book are of interest to computer scientists, statisticians, operations researchers, experts in AI, cognitive psychologists and economists.
Preference, Belief, and Similarity by Amos Tversky Pdf
Amos Tversky (1937–1996), a towering figure in cognitive and mathematical psychology, devoted his professional life to the study of similarity, judgment, and decision making. He had a unique ability to master the technicalities of normative ideals and then to intuit and demonstrate experimentally their systematic violation due to the vagaries and consequences of human information processing. He created new areas of study and helped transform disciplines as varied as economics, law, medicine, political science, philosophy, and statistics. This book collects forty of Tversky's articles, selected by him in collaboration with the editor during the last months of Tversky's life. It is divided into three sections: Similarity, Judgment, and Preferences. The Preferences section is subdivided into Probabilistic Models of Choice, Choice under Risk and Uncertainty, and Contingent Preferences. Included are several articles written with his frequent collaborator, Nobel Prize-winning economist Daniel Kahneman.
Similarities of Defense Preferences Within Families, Within Sex Groups, and Their Relationship to Parental Identification in Adolescent Males by Mark Herman Thelen Pdf
The Development of Sex Differences and Similarities in Behavior by Marc Haug Pdf
This varied and impressive volume is a record of the major presentations at the NATO Advanced Research Workshop on the Development of Sex Differences and Similarities in Behavior held at Chateau de Bonas, Gers, France, July 14-18, 1992."
Children's Literacy Practices and Preferences by Jane Sunderland,Steven Dempster,Joanne Thistlethwaite Pdf
Over the past few decades there have been intense debates in education surrounding children’s literacy achievement and ways to promote reading, particularly that of boys. The Harry Potter book series has been received enthusiastically by very many children, boys and girls alike, but has also been constructed in popular and media discourses as a children’s, particularly a boys’, literacy saviour. Children’s Literacy Practices and Preferences: Harry Potter and Beyond provides empirical evidence of young people’s reported literacy practices and views on reading, and of how they see how the Harry Potter series as having impacted their own literacy. The volume explores and debunks some of the myths surrounding Harry Potter and literacy, and contextualizes these within children’s wider reading.
An Extended Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) with Maximizing Deviation Method Based on Integrated Weight Measure for Single-Valued Neutrosophic Sets by Ganeshsree Selvachandran,Shio Gai Quek,Florentin Smarandache,Said Broumi Pdf
A single-valued neutrosophic set (SVNS) is a special case of a neutrosophic set which is characterized by a truth, indeterminacy, and falsity membership function, each of which lies in the standard interval of [0, 1].
Soft Computing for Security Applications by G. Ranganathan,Youssouf EL Allioui,Selwyn Piramuthu Pdf
This book features selected papers from the International Conference on Soft Computing for Security Applications (ICSCS 2023), held at Dhirajlal Gandhi College of Technology, Tamil Nadu, India, during April 21–22, 2023. It covers recent advances in the field of soft computing techniques such as fuzzy logic, neural network, support vector machines, evolutionary computation, machine learning, and probabilistic reasoning to solve various real-time challenges. The book presents innovative work by leading academics, researchers, and experts from industry.
A handy reference guide for data analysts and data scientists to help to obtain value from big data analytics using Spark on Hadoop clusters About This Book This book is based on the latest 2.0 version of Apache Spark and 2.7 version of Hadoop integrated with most commonly used tools. Learn all Spark stack components including latest topics such as DataFrames, DataSets, GraphFrames, Structured Streaming, DataFrame based ML Pipelines and SparkR. Integrations with frameworks such as HDFS, YARN and tools such as Jupyter, Zeppelin, NiFi, Mahout, HBase Spark Connector, GraphFrames, H2O and Hivemall. Who This Book Is For Though this book is primarily aimed at data analysts and data scientists, it will also help architects, programmers, and practitioners. Knowledge of either Spark or Hadoop would be beneficial. It is assumed that you have basic programming background in Scala, Python, SQL, or R programming with basic Linux experience. Working experience within big data environments is not mandatory. What You Will Learn Find out and implement the tools and techniques of big data analytics using Spark on Hadoop clusters with wide variety of tools used with Spark and Hadoop Understand all the Hadoop and Spark ecosystem components Get to know all the Spark components: Spark Core, Spark SQL, DataFrames, DataSets, Conventional and Structured Streaming, MLLib, ML Pipelines and Graphx See batch and real-time data analytics using Spark Core, Spark SQL, and Conventional and Structured Streaming Get to grips with data science and machine learning using MLLib, ML Pipelines, H2O, Hivemall, Graphx, SparkR and Hivemall. In Detail Big Data Analytics book aims at providing the fundamentals of Apache Spark and Hadoop. All Spark components – Spark Core, Spark SQL, DataFrames, Data sets, Conventional Streaming, Structured Streaming, MLlib, Graphx and Hadoop core components – HDFS, MapReduce and Yarn are explored in greater depth with implementation examples on Spark + Hadoop clusters. It is moving away from MapReduce to Spark. So, advantages of Spark over MapReduce are explained at great depth to reap benefits of in-memory speeds. DataFrames API, Data Sources API and new Data set API are explained for building Big Data analytical applications. Real-time data analytics using Spark Streaming with Apache Kafka and HBase is covered to help building streaming applications. New Structured streaming concept is explained with an IOT (Internet of Things) use case. Machine learning techniques are covered using MLLib, ML Pipelines and SparkR and Graph Analytics are covered with GraphX and GraphFrames components of Spark. Readers will also get an opportunity to get started with web based notebooks such as Jupyter, Apache Zeppelin and data flow tool Apache NiFi to analyze and visualize data. Style and approach This step-by-step pragmatic guide will make life easy no matter what your level of experience. You will deep dive into Apache Spark on Hadoop clusters through ample exciting real-life examples. Practical tutorial explains data science in simple terms to help programmers and data analysts get started with Data Science
Heterogeneous Information Network Analysis and Applications by Chuan Shi,Philip S. Yu Pdf
This book offers researchers an understanding of the fundamental issues and a good starting point to work on this rapidly expanding field. It provides a comprehensive survey of current developments of heterogeneous information network. It also presents the newest research in applications of heterogeneous information networks to similarity search, ranking, clustering, recommendation. This information will help researchers to understand how to analyze networked data with heterogeneous information networks. Common data mining tasks are explored, including similarity search, ranking, and recommendation. The book illustrates some prototypes which analyze networked data. Professionals and academics working in data analytics, networks, machine learning, and data mining will find this content valuable. It is also suitable for advanced-level students in computer science who are interested in networking or pattern recognition.
Receptor-Oriented Communication for Hui Muslims in China by Enoch Jinsik Kim Pdf
There are many books that highlight the need and importance of mission toward unreached people. Unfortunately, few of them deal with the importance of understanding the real life of unreached people and how to analyze them. This book identifies conceptual issues for the development of receptor-oriented communication strategies among young, educated, urban Hui (YEU-Hui) Muslims in China's northwestern cities in order to achieve culturally relevant churches in those areas. It is written to help not only those who are interested in the unreached, but also those who are interested in Muslim evangelism, urban sociology, biblical exegesis, contextual church planting, communication, and mission strategy. Enoch Jinsik Kim utilizes a new approach--virtual community mission for planting offline churches--that integrates the use of local church-driven Internet community, traditional media, and offline task teams from a multi-ethnic local church. While the research focuses on the Chinese Muslim context, the identification of the young, urban, and educated as a strategic group for mission can be applied in other Muslim and non-Muslim contexts. This research is useful to cross-cultural communicators, church planters, and all those interested in interpersonal relationships.
The Processing of Information and Structure by W. R. Garner Pdf
First published in 1974. This book uses the basic idea of information as number of alternatives, and the concept of redundancy, but little else from formal information theory. It is a collection of eight lectures.
E-Commerce and Web Technologies by Kurt Bauknecht,Martin Bichler,Birgit Pröll Pdf
We welcome you to the proceedings of the 5t International Conference on E- CommerceandWebTechnology(EC-Web2004)heldinconjunctionwithDEXA 2004 in Zaragoza, Spain. This conference, ?rst held in Greenwich, United Ki- dom in 2000, now is in its ?fth year and very well established. As in the four previous years, it served as a forum to bring together researchersfrom academia and commercial developers from industry to discuss the current state of the art in e-commerce and Web technology. Inspirations and new ideas emerged from intensive discussions during formal sessions and social events. Keynote addresses, research presentations and discussions during the c- ference helped to further develop the exchange of ideas among the researchers, developers and practitioners present. The conference attracted 103 paper submissions and almost every paper was reviewed by three program committee members. The program committee - lected 37 papers for presentationand publication, a task which was not easy due to the high quality of the submitted papers. We would like to express our thanks to our colleagues who helped with putting together the technical program: the program committee members and external reviewers for their timely and rigorous reviews of the papers, and the organizing committee for their help in the administrative work and support. We owe special thanks to Gabriela Wagner, Mirella Köster, and Birgit Hauer for their helping hands concerning the administrative and organizational tasks of this conference. Finally,wewouldliketothankalltheauthorswhosubmittedpapers,authors who presented papers, and the participants who together made this conference an intellectually stimulating event through their active contributions.
Multimedia Services in Intelligent Environments by George A. Tsihrintzis,Maria Virvou,Lakhmi C. Jain Pdf
Multimedia services are now commonly used in various activities in the daily lives of humans. Related application areas include services that allow access to large depositories of information, digital libraries, e-learning and e-education, e-government and e-governance, e-commerce and e-auctions, e-entertainment, e-health and e-medicine, and e-legal services, as well as their mobile counterparts (i.e., m-services). Despite the tremendous growth of multimedia services over the recent years, there is an increasing demand for their further development. This demand is driven by the ever-increasing desire of society for easy accessibility to information in friendly, personalized and adaptive environments. In this book at hand, we examine recent Advances in Recommender Systems. Recommender systems are crucial in multimedia services, as they aim at protecting the service users from information overload. The book includes nine chapters, which present various recent research results in recommender systems. This research book is directed to professors, researchers, application engineers and students of all disciplines who are interested in learning more about recommender systems, advancing the corresponding state of the art and developing recommender systems for specific applications.
