Senin, 11 April 2016

1Bookcase - 9 books ready for downloading


1Bookcase - 9 books ready for downloading

Link to 1Bookcase

Assessing Social Impact of Social Enterprises

Posted: 10 Apr 2016 11:59 AM PDT

Springer.Assessing.Social.Impact.of.Social.Enterprises

Assessing Social Impact of Social Enterprises: Does One Size Really Fit All?.

This book explores the diversity of Social Impact Assessment (SIA) models and outlines a self-assessment on models to support social entrepreneurs. The chapters trace the concept and origins of social entrepreneurship and elicits current implementation of SIA models by social enterprises. The comprehensive review of over seventy five SIA models will be especially useful for social entrepreneurs and researchers.

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Entrepreneurs in Family Business Dynasties

Posted: 10 Apr 2016 11:54 AM PDT

Springer.Entrepreneurs.in.Family.Business.Dynasties

Entrepreneurs in Family Business Dynasties: Stories of Italian-Australian Family Businesses Over 100 Years.

This book is a longitudinal story of seven Italian-Australian family business dynasties, spanning over a hundred years across three generations, and starting with the founding generation who migrated to Australia in the first half of the 20th century. With hard work and sacrifices, they set the foundations of a long-lasting family culture, and the values that form the glue of a multigenerational family business. The book focuses on the personal, family, and business values that keep family members, across generations, continuing to engage together and successfully, as a family and a business. The book elaborates on the complexity of 'what is a family business', what it represents for the generational members that are part of it, how these family businesses have emerged, consolidated and expanded, and finally, how they continue to survive into the third generation, enabling the dynasty to flourish.

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Handbook on Project Management and Scheduling Vol. 2

Posted: 10 Apr 2016 11:53 AM PDT

Springer.Handbook.on.Project.Management.and.Scheduling.Vol.2

Handbook on Project Management and Scheduling Vol. 2.

Due to the increasing importance of product differentiation and collapsing product life cycles, a growing number of value-adding activities in the industry and service sector are organized in projects. Projects come in many forms, often taking considerable time and consuming a large amount of resources. The management and scheduling of projects represents a challenging task, and project performance may have a considerable impact on an organization’s competitiveness.

This handbook presents state-of-the-art approaches to project management and scheduling. More than sixty contributions written by leading experts in the field provide an authoritative survey of recent developments. The book serves as a comprehensive reference, both, for researchers and project management professionals.

The handbook consists of two volumes. Volume 1 is devoted to single-modal and multi-modal project scheduling. Volume 2 presents multi-project problems, project scheduling under uncertainty and vagueness, managerial approaches and a separate part on applications, case studies, and information systems.

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Handbook on Project Management and Scheduling Vol.1

Posted: 10 Apr 2016 11:52 AM PDT

springer.handbook.on.project.management.and.scheduling.vol.

Handbook on Project Management and Scheduling Vol.1.

Due to the increasing importance of product differentiation and collapsing product life cycles, a growing number of value-adding activities in the industry and service sector are organized in projects. Projects come in many forms, often taking considerable time and consuming a large amount of resources. The management and scheduling of projects represents a challenging task, and project performance may have a considerable impact on an organization’s competitiveness.

This handbook presents state-of-the-art approaches to project management and scheduling. More than sixty contributions written by leading experts in the field provide an authoritative survey of recent developments. The book serves as a comprehensive reference, both, for researchers and project management professionals.

The handbook consists of two volumes. Volume 1 is devoted to single-modal and multi-modal project scheduling. Volume 2 presents multi-project problems, project scheduling under uncertainty and vagueness, managerial approaches and a separate part on applications, case studies, and information systems.

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Handbook on Data Centers

Posted: 10 Apr 2016 11:47 AM PDT

Springer.Handbook.on.Data.Centers

Handbook on Data Centers.

This handbook offers a comprehensive review of the state-of-the-art research achievements in the field of data centers. Contributions from international, leading researchers and scholars offer topics in cloud computing, virtualization in data centers, energy efficient data centers, and next generation data center architecture.  It also comprises current research trends in emerging areas, such as data security, data protection management, and network resource management in data centers.

Specific attention is devoted to industry needs associated with the challenges faced by data centers, such as various power, cooling, floor space, and associated environmental health and safety issues, while still working to support growth without disrupting quality of service. The contributions cut across various IT data technology domains as a single source to discuss the interdependencies that need to be supported to enable a virtualized, next-generation, energy efficient, economical, and environmentally friendly data center.

This book appeals to a broad spectrum of readers, including server, storage, networking, database, and applications analysts, administrators, and architects. It is intended for those seeking to gain a stronger grasp on data center networks: the fundamental protocol used by the applications and the network, the typical network technologies, and their design aspects. The Handbook of Data Centers is a leading reference on design and implementation for planning, implementing, and operating data center networks.

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Channel Coding Techniques for Wireless Communications

Posted: 10 Apr 2016 11:44 AM PDT

Springer.Channel.Coding.Techniques.for.Wireless.Communications

Channel Coding Techniques for Wireless Communications.

The book discusses modern channel coding techniques for wireless communications such as turbo codes, low-density parity check (LDPC) codes, space–time (ST) coding, RS (or Reed–Solomon) codes and convolutional codes. Many illustrative examples are included in each chapter for easy understanding of the coding techniques. The text is integrated with MATLAB-based programs to enhance the understanding of the subject's underlying theories. It includes current topics of increasing importance such as turbo codes, LDPC codes, Luby transform (LT) codes, Raptor codes, and ST coding in detail, in addition to the traditional codes such as cyclic codes, BCH (or Bose–Chaudhuri–Hocquenghem) and RS codes and convolutional codes. Multiple-input and multiple-output (MIMO) communications is a multiple antenna technology, which is an effective method for high-speed or high-reliability wireless communications. PC-based MATLAB m-files for the illustrative examples are provided on the book page on Springer.com for free download, which will help students and researchers involved in advanced and current concepts in coding theory. Channel coding, the core of digital communication and data storage, has undergone a major revolution as a result of the rapid growth of mobile and wireless communications.

The book is divided into 11 chapters. Assuming no prior knowledge in the field of channel coding:

  • Chapters (1–2) begin with basic theory and discuss how to improve the performance of wireless communication channels by using channel coding.
  • Chapters 3–4 introduce Galois fields and present detailed coverage of BCH codes and RS codes.
  • Chapters 5–7 introduce the family of convolutional codes, hard and soft-decision Viterbi algorithms, turbo codes, BCJR (or Bahl–Cocke–Jelinek–Raviv) algorithm for turbo decoding and studies trellis coded modulation (TCM), turbo TCM (TTCM), bit-interleaved coded modulation (BICM) as well as iterative BICM (BICM-ID) and compares them under various channel conditions.
  • Chapters 8–9 focus on LDPC codes, LT codes and Raptor codes. Chapters 10–11 discuss MIMO systems and ST coding.

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Data Mining

Posted: 10 Apr 2016 11:39 AM PDT

Springer.Data.Mining.The.Textbook

Data Mining: The Textbook.

This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues. It goes beyond the traditional focus on data mining problems to introduce advanced data types such as text, time series, discrete sequences, spatial data, graph data, and social networks. Until now, no single book has addressed all these topics in a comprehensive and integrated way. The chapters of this book fall into one of three categories:

  • Fundamental chapters: Data mining has four main problems, which correspond to clustering, classification, association pattern mining, and outlier analysis. These chapters comprehensively discuss a wide variety of methods for these problems.
  • Domain chapters: These chapters discuss the specific methods used for different domains of data such as text data, time-series data, sequence data, graph data, and spatial data.

Application chapters: These chapters study important applications such as stream mining, Web mining, ranking, recommendations, social networks, and privacy preservation. The domain chapters also have an applied flavor.

Appropriate for both introductory and advanced data mining courses, Data Mining: The Textbook balances mathematical details and intuition. It contains the necessary mathematical details for professors and researchers, but it is presented in a simple and intuitive style to improve accessibility for students and industrial practitioners (including those with a limited mathematical background). Numerous illustrations, examples, and exercises are included, with an emphasis on semantically interpretable examples.

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Machine Learning in Medicine: A Complete Overview

Posted: 10 Apr 2016 11:36 AM PDT

Springer.Machine.Learning.in.Medicine.a.Complete.Overview

Machine Learning in Medicine: A Complete Overview.

The current book is the first publication of a complete overview of machine learning methodologies for the medical and health sector. It was written as a training companion, and as a must-read, not only for physicians and students, but also for any one involved in the process and progress of health and health care. In eighty chapters eighty different machine learning methodologies are reviewed, in combination with data examples for self-assessment. Each chapter can be studied without the need to consult other chapters.

The amount of data stored in the world’s databases doubles every 20 months, and clinicians, familiar with traditional statistical methods, are at a loss to analyze them. Traditional methods have, indeed, difficulty to identify outliers in large datasets, and to find patterns in big data and data with multiple exposure / outcome variables. In addition, analysis-rules for surveys and questionnaires, which are currently common methods of data collection, are, essentially, missing. Fortunately, the new discipline, machine learning, is able to cover all of these limitations.

So far medical professionals have been rather reluctant to use machine learning. Also, in the field of diagnosis making, few doctors may want a computer checking them, are interested in collaboration with a computer or with computer engineers. Adequate health and health care will, however, soon be impossible without proper data supervision from modern machine learning methodologies like cluster models, neural networks, and other data mining methodologies.

Each chapter starts with purposes and scientific questions. Then, step-by-step analyses, using data examples, are given. Finally, a paragraph with conclusion, and references to the corresponding sites of three introductory textbooks, previously written by the same authors, is given.

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Advances in Knowledge Representation, Logic Programming, and Abstract Argumentation

Posted: 10 Apr 2016 11:33 AM PDT

Springer.Advances.in.Knowledge.Representation.Logic.Programming.and.Abstract.Argumentation

Advances in Knowledge Representation, Logic Programming, and Abstract Argumentation: Essays Dedicated to Gerhard Brewka on the Occasion of His 60th Birthday.

This Festschrift is published in honor of Gerhard Brewka on the occasion of his 60th birthday and contains articles from fields reflecting the breadth of Gerd’s work. The 24 scientific papers included in the book are written by close friends and colleagues and cover topics such as Actions and Agents, Nonmonotonic and Human Reasoning, Preferences and Argumentation.

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