Ubiquitous Knowledge Discovery:Challenges, Techniques, Applications
Ubiquitous Developments in Knowledge Management:Integrations and Trends Murray Jennex
Ubiquitous and Pervasive Knowledge and Learning Management:Semantics, Social Networking and New Media to Their Full Potential
Although it is among the oldest of market institutions, the auction is ubiquitous in today´s economy, used for everything from government procurement to selling advertising on the Internet to course assignment at MIT´s Sloan School. Yet beyond the small number of economists who specialize in the subject, few people understand how auctions really work. This concise, accessible, and engaging book explains both the theory and the practice of auctions. It describes the main auction formats and pricing rules, develops a simple model to explain bidder behavior, and provides a range of real-world examples. The authors explain what constitutes an auction and how auctions can be modeled as games of asymmetric information - that is, games in which some players know something that other players do not. They characterize behavior in these strategic situations and maintain a focus on the real world by illustrating their discussions with examples that include not just auctions held by eBay and Sotheby´s but those used by Google, the US Treasury, TaskRabbit, and charities. Listeners will begin to understand how economists model auctions and how the rules of the auction shape bidder incentives. They will appreciate the role auctions play in our modern economy and understand why these selling mechanisms are so resilient. 1. Language: English. Narrator: Sean Pratt. Audio sample: http://samples.audible.de/bk/gdan/001844/bk_gdan_001844_sample.mp3. Digital audiobook in aax.
When ´´metadata´´ became breaking news, appearing in stories about surveillance by the National Security Agency, many members of the public encountered this once-obscure term from information science for the first time. Should people be reassured that the NSA was ´´only´´ collecting metadata about phone calls - information about the caller, the recipient, the time, the duration, the location - and not recordings of the conversations themselves? Or does phone call metadata reveal more than it seems? In this audiobook, Jeffrey Pomerantz offers an accessible and concise introduction to metadata. In the era of ubiquitous computing, metadata has become infrastructural, like the electrical grid or the highway system. We interact with it or generate it every day. It is not, Pomerantz tell us, just ´´data about data´´. It is a means by which the complexity of an object is represented in a simpler form. For example, the title, the author, and the cover art are metadata about a book. When metadata does its job well, it fades into the background; everyone (except perhaps the NSA) takes it for granted. Pomerantz explains what metadata is and why it exists. He distinguishes among different types of metadata - descriptive, administrative, structural, preservation, and use - and examines different users and uses of each type. He discusses the technologies that make modern metadata possible, and he speculates about metadata´s future. By the end of the book, listeners will see metadata everywhere. Because, Pomerantz warns us, it´s metadata´s world, and we are just living in it. PLEASE NOTE: When you purchase this title, the accompanying reference material will be available in your Library section along with the audio. 1. Language: English. Narrator: Steven Menasche. Audio sample: http://samples.audible.de/bk/gdan/001770/bk_gdan_001770_sample.mp3. Digital audiobook in aax.
Today, machine learning underlies a range of applications we use every day, from product recommendations to voice recognition - as well as some we don´t yet use every day, including driverless cars. It is the basis of the new approach in computing where we do not write programs but collect data; the idea is to learn the algorithms for the tasks automatically from data. As computing devices grow more ubiquitous, a larger part of our lives and work is recorded digitally, and as ´´Big Data´´ has gotten bigger, the theory of machine learning - the foundation of efforts to process that data into knowledge - has also advanced. In this audiobook, machine learning expert Ethem Alpaydin offers a concise overview of the subject for the general listener, describing its evolution, explaining important learning algorithms, and presenting example applications. Alpaydin offers an account of how digital technology advanced from number-crunching mainframes to mobile devices, putting today´s machine learning boom in context. He describes the basics of machine learning and some applications; the use of machine learning algorithms for pattern recognition; artificial neural networks inspired by the human brain; algorithms that learn associations between instances, with such applications as customer segmentation and learning recommendations; and reinforcement learning, when an autonomous agent learns act so as to maximize reward and minimize penalty. Alpaydin then considers some future directions for machine learning and the new field of ´´data science,´´ and discusses the ethical and legal implications for data privacy and security. 1. Language: English. Narrator: Steven Menasche. Audio sample: http://samples.audible.de/bk/gdan/002057/bk_gdan_002057_sample.mp3. Digital audiobook in aax.
Most of the information available on cloud computing is either highly technical, with details that are irrelevant to nontechnologists, or pure marketing hype, in which the cloud is simply a selling point. This book, however, explains the cloud from the user´s viewpoint - the business user´s in particular. Nayan Ruparelia explains what the cloud is, when to use it (and when not to), how to select a cloud service, how to integrate it with other technologies, and what the best practices are for using cloud computing. Cutting through the hype, Ruparelia cites the simple and basic definition of cloud computing from the National Institute of Science and Technology: a model enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources. Thus with cloud computing, businesses can harness information technology resources usually available only to large enterprises. And this, Ruparelia demonstrates, represents a paradigm shift for business. It will ease funding for start-ups, alter business plans, and allow big businesses greater agility. Ruparelia discusses the key issues for any organization considering cloud computing: service level agreements, business service delivery and consumption, finance, legal jurisdiction, security, and social responsibility. He introduces novel concepts made possible by cloud computing: cloud cells, or specialist clouds for specific uses; the personal cloud; the cloud of things; and cloud service exchanges. He examines use case patterns in terms of infrastructure and platform, software information, and business process; and he explains how to transition to a cloud service. Current and future users will find this book an indispensable guide to the cloud. PLEASE NOTE: When you purchase this title, the accompanying reference material will be available in your Library section along with the audio. 1. Language: English. Narrator: Walter Dixon. Audio sample: http://samples.audible.de/bk/gdan/001873/bk_gdan_001873_sample.mp3. Digital audiobook in aax.
The ultimate leptin resistance diet guide for weight loss, including delicious recipes and how to overcome leptin resistance naturally. This book is all you will ever need if you want to learn about and eventually conquer Leptin resistance. It is informative, easy to follow, and gives in-depth information about the condition itself and the various means by which it can be controlled. This book also features many recipes that can be copied or altered to produce delicious meals that will help you regain your Leptin sensitivity and tickle your taste buds, too. The book starts off by giving you an in depth description of what Leptin resistance is and how the disorder works exactly. The author believes that it is very important that you get the full knowledge of what the disease is and how it works, so that you will be fully equipped with the knowledge to tackle this ubiquitous disease. It then goes on to describe in detail the many causes of Leptin resistance and tells you the many ways that you can identify Leptin resistance in yourself and the ones you love. It then goes on to show the many ways that Leptin resistance is related to other hormonal diseases, such as diabetes. You will hear ways of treating Leptin resistance naturally. This book gives you clear instructions of what to do and what not to do - and what to eat and what not to eat. The reasoning behind these rules is also explained, so that you are not left in the dark about these practices. Even more important: This book features numerous recipes that will help to get you back on track with your Leptin sensitivity. They are easy to prepare, tasty, and sharable. There are natural ways to treat Leptin resistance, and there are not-so-natural ways to treat it. This book will give you all the knowledge you need to treat Leptin resistance with acupuncture and intermittent fasting. You will not be left in the dark about any treatment method. 1. Language: English. Narrator: Kristi Burns. Audio sample: http://samples.audible.de/bk/acx0/032535/bk_acx0_032535_sample.mp3. Digital audiobook in aax.
Computational modeling is now ubiquitous in psychology, and researchers who are not modelers may find it increasingly difficult to follow the theoretical developments in their field. This book presents an integrated framework for the development and application of models in psychology and related disciplines. Researchers and students are given the knowledge and tools to interpret models published in their area, as well as to develop, fit, and test their own models. Both the development of models and key features of any model are covered, as are the applications of models in a variety of domains across the behavioural sciences. A number of chapters are devoted to fitting models using maximum likelihood and Bayesian estimation, including fitting hierarchical and mixture models. Model comparison is described as a core philosophy of scientific inference, and the use of models to understand theories and advance scientific discourse is explained.