Green products have been around since the 1970s, but it's only in recent years that they've become ubiquitous. That's because savvy green marketers are no longer targeting "deep green" consumers with a "save the planet" pitch. Instead, they're promoting the added value their products provide: better health,...
Over 7 billion people demand water from resources that the changing climate is making more and more difficult to harness. Water scarcity and shortage are increasingly common and conditions are becoming more extreme. Inadequate and inappropriate management of water is already taking its toll on the environment and on the quality of life of...
This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you’re comfortable with Python and its libraries, including pandas and scikit-learn, you’ll be able to address specific problems such as loading data, handling text or...
If you’re a security or network professional, you already know the “do’s and don’ts”: run AV software and firewalls, lock down your systems, use encryption, watch network traffic, follow best practices, hire expensive consultants . . . but it isn’t working. You’re at greater risk...
This book is broken down into 6 parts. The first describes the emergence of a worldwide network of computers, here called Worldnet, and the practices that people have engaged in as a result. The second part describes the problem of electronic breakins. The third part deals with the phenomenon of worms. The fourth part deals with viruses. The...
Data Mining in Agriculture represents a comprehensive effort to provide graduate students and researchers with an analytical text on data mining techniques applied to agriculture and environmental related fields. This book presents both theoretical and practical insights with a focus on presenting the context of each data mining...
With its focus on creating efficient data structures and algorithms, this comprehensive text helps readers understand how to select or design the tools that will best solve specific problems. It uses MicrosoftC++ as the programming language and is suitable for second-year data structure courses and computer science courses in...
Data mining involves the non-trivial extraction of implicit, previously unknown, and potentially useful information from databases. Genetic Programming (GP) and Inductive Logic Programming (ILP) are two of the approaches for data mining. This book first sets the necessary backgrounds for the reader, including an overview of data mining,...
MCSA GUIDE TO MICROSOFT SQL SERVER 2012 (Exam #70-462) provides a thorough introduction to essential database administration principles and practices to prepare readers for certification and career success. Ideal for formal courses, self-study, or professional reference, this detailed text employs a lab-based approach to help users develop...
Intelligent information and database systems are two closely related and we- established subfields of modern computer science. They focus on the integration of artificial intelligence and classic database technologies in order to create the class of next generation information systems. The major target of this new gene- tion of systems is to...
While traditional studies of dress and jewelry have tended to focus purely on reconstruction or descriptions of style, chronology and typology, the social context of costume is now a major research area in archaeology. This refocusing is largely a result of the close relationship between dress and three currently popular topics: identity,...
