This book offers a clear and comprehensive introduction to broad learning, one of the novel learning problems studied in data mining and machine learning. Broad learning aims at fusing multiple large-scale information sources of diverse varieties together, and carrying out synergistic data mining tasks across these fused sources in one unified analytic. This book takes online social networks as an application example to introduce the latest alignment and knowledge discovery algorithms. Besides the overview of broad learning, machine learning and social network basics, specific topics covered in this book include network alignment, link prediction, community detection, information diffusion, viral marketing, and network embedding.
Gaining access to high-quality data is a vital necessity in knowledge-based decision making. But data in its raw form often contains sensitive information about individuals. Providing solutions to this problem, the methods and tools of privacy-preserving data publishing enable the publication of useful information while protecting data privacy. Int
Stimulated by the increasing importance of chiral molecules as pharmaceuticals and the need for enantiomerically pure drugs, techniques in chiral chemistry have been expanded and refined, especially in the areas of chromatography, asymmetric synthesis, and spectroscopic methods for chiral molecule structural characterization. In addition to synthet
This book constitutes the refereed proceedings of the 6th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2002, held in Taipei, Taiwan, in May 2002. The 32 revised full papers and 20 short papers presented together with 4 invited contributions were carefully reviewed and selected from a total of 128 submissions. The papers are organized in topical sections on association rules; classification; interestingness; sequence mining; clustering; Web mining; semi-structure and concept mining; data warehouse and data cube; bio-data mining; temporal mining; and outliers, missing data, and causation.
This book focuses on differential privacy and its application with an emphasis on technical and application aspects. This book also presents the most recent research on differential privacy with a theory perspective. It provides an approachable strategy for researchers and engineers to implement differential privacy in real world applications. Early chapters are focused on two major directions, differentially private data publishing and differentially private data analysis. Data publishing focuses on how to modify the original dataset or the queries with the guarantee of differential privacy. Privacy data analysis concentrates on how to modify the data analysis algorithm to satisfy differential privacy, while retaining a high mining accuracy. The authors also introduce several applications in real world applications, including recommender systems and location privacy Advanced level students in computer science and engineering, as well as researchers and professionals working in privacy preserving, data mining, machine learning and data analysis will find this book useful as a reference. Engineers in database, network security, social networks and web services will also find this book useful.
Caper: The Genus Capparis presents a pharmacognostic and ethnopharmacological exploration of the genus Capparis, emphasizing its medicinal potential. There is a long history of safe usage of Capparis parts both in diet and as plant drugs throughout the world, and the details of this usage are summarized in 39 tables covering numerous Capparis speci
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.
Representation learning in heterogeneous graphs (HG) is intended to provide a meaningful vector representation for each node so as to facilitate downstream applications such as link prediction, personalized recommendation, node classification, etc. This task, however, is challenging not only because of the need to incorporate heterogeneous structural (graph) information consisting of multiple types of node and edge, but also the need to consider heterogeneous attributes or types of content (e.g. text or image) associated with each node. Although considerable advances have been made in homogeneous (and heterogeneous) graph embedding, attributed graph embedding and graph neural networks, few are capable of simultaneously and effectively taking into account heterogeneous structural (graph) information as well as the heterogeneous content information of each node. In this book, we provide a comprehensive survey of current developments in HG representation learning. More importantly, we present the state-of-the-art in this field, including theoretical models and real applications that have been showcased at the top conferences and journals, such as TKDE, KDD, WWW, IJCAI and AAAI. The book has two major objectives: (1) to provide researchers with an understanding of the fundamental issues and a good point of departure for working in this rapidly expanding field, and (2) to present the latest research on applying heterogeneous graphs to model real systems and learning structural features of interaction systems. To the best of our knowledge, it is the first book to summarize the latest developments and present cutting-edge research on heterogeneous graph representation learning. To gain the most from it, readers should have a basic grasp of computer science, data mining and machine learning.
Pain and the Conscious Brain brings together more than 30 international leaders from multiple fields to link the complex concept of pain to the equally complex notion of consciousness. Offering a clear, cutting-edge understanding of the brain mechanisms that generate the conscious experience of pain, this book scientifically addresses the difficult and chronic pains that often have no known physical cause and can defy comprehension in terms of current pain theories. Numerous tables, full-color figures, and up-to-date references highlight expert coverage of today’s gradual paradigm shift from peripheral receptors to the intricacy of the brain and the experience of the self.
A culmination of the authors' years of extensive research on this topic, Relational Data Clustering: Models, Algorithms, and Applications addresses the fundamentals and applications of relational data clustering. It describes theoretic models and algorithms and, through examples, shows how to apply these models and algorithms to solve real-world problems. After defining the field, the book introduces different types of model formulations for relational data clustering, presents various algorithms for the corresponding models, and demonstrates applications of the models and algorithms through extensive experimental results. The authors cover six topics of relational data clustering: Clustering on bi-type heterogeneous relational data Multi-type heterogeneous relational data Homogeneous relational data clustering Clustering on the most general case of relational data Individual relational clustering framework Recent research on evolutionary clustering This book focuses on both practical algorithm derivation and theoretical framework construction for relational data clustering. It provides a complete, self-contained introduction to advances in the field.
This book offers state-of the-art research and development outcomes on methodologies, techniques, approaches and successful applications in domain driven, actionable knowledge discovery. It bridges the gap between business expectations and research output.
From Boron Trifluoride to Zinc, the 52 most widely used reagents in organic synthesis are described in this unique desktop reference for every organic chemist. The list of reagents contains classics such as N-Bromosuccinimide (NBS) and Trifluoromethanesulfonic Acid side by side with recently developed ones like Pinacolborane and Tetra-n-propylammonium Perruthenate (TPAP). For each reagent, a concise article provides a brief description of all important reactions for which the reagent is being used, including yields and reaction conditions, an overview of the physical properties of the reagent, its storage conditions, safe handling, laboratory synthesis and purification methods. Advantages and disadvantages of the reagent compared to alternative synthesis methods are also discussed. Reagents have been hand-picked from among the 5000 reagents contained in EROS, the Encyclopedia of Reagents for Organic Synthesis. Every organic chemist should be familiar with these key reagents that can make almost every reaction work.
This book provides insights into the mechanisms of primary carbonization, discusses changes in the thermal-mechanical properties of carbon/carbon composites due to stress effects. It describes factors that result in the acceleration of the graphitization process.
Put the world’s most well-known kidney reference to work in your practice with the 11th Edition of Brenner & Rector’s The Kidney. This two-volume masterwork provides expert, well-illustrated information on everything from basic science and pathophysiology to clinical best practices. Addressing current issues such as new therapies for cardiorenal syndrome, the increased importance of supportive or palliative care in advanced chronic kidney disease, increasing live kidney donation in transplants, and emerging discoveries in stem cell and kidney regeneration, this revised edition prepares you for any clinical challenge you may encounter. Extensively updated chapters throughout, providing the latest scientific and clinical information from authorities in their respective fields. Lifespan coverage of kidney health and disease from pre-conception through fetal and infant health, childhood, adulthood, and old age. Discussions of today’s hot topics, including the global increase in acute kidney injury, chronic kidney disease of unknown etiology, cardiovascular disease and renal disease, and global initiatives for alternatives in areas with limited facilities for dialysis or transplant. New Key Points that represent either new findings or "pearls" of information that are not widely known or understood. New Clinical Relevance boxes that highlight the information you must know during a patient visit, such as pertinent physiology or pathophysiology. Hundreds of full-color, high-quality photographs as well as carefully chosen figures, algorithms, and tables that illustrate essential concepts, nuances of clinical presentation and technique, and clinical decision making. A new editor who is a world-renowned expert in global health and nephrology care in underserved populations, Dr. Valerie A. Luyckx from University of Zürich. Board review-style questions to help you prepare for certification or recertification.
Obesity is one of the most important contributing factors to disease throughout the world and is an area of great current interest among researchers and clinicians. The genetics of common obesity is complex, and an important thread through this labyrinth is the study of genetic syndromes in which obesity is a major component. By examining the genetic mechanisms of obesity in these syndromes, the authors will shed new light on the genetics of common obesity. This is the first book on this important and exciting new area and addreses both the molecular and clinical features of the obesity syndromes, providing hard-core information for researchers and practical guidelines for clinicians caring for obese patients. The book is divided into three sections: the first covers approaches for assessing and investigating the obese individual; the second describes nondysmorphic, monogenic forms of obesity; and the third documents key, multisystem obesity syndromes with various genetic etiologies. It is as much a reference book as it is a manual and will appeal to clinical geneticists, obesity researchers, endocrinologists, nutritionists, and medical biologists.
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