




Visual Data Mining: The VisMiner Approach
A visual approach to data mining.
Data mining has been defined as the search for useful and previously unknown patterns in large datasets, yet when faced with the task of mining a large dataset, it is not always obvious where to start and how to proceed.
This book introduces a visual methodology for data...   Quantum Monte Carlo: Origins, Development, ApplicationsMonte Carlo methods are a class of computational algorithms for simulating the behavior of a wide range of various physical and mathematical systems (with many variables). Their utility has increased with general availability of fast computers, and new applications are continually forthcoming. The basic concepts of Monte Carlo are both simple and...   MySQL Cookbook: Solutions for Database Developers and Administrators
MySQL’s popularity has brought a flood of questions about how to solve specific problems, and that’s where this cookbook is essential. When you need quick solutions or techniques, this handy resource provides scores of short, focused pieces of code, hundreds of workedout examples, and clear, concise explanations for... 


Fundamentals of Probability: With Stochastic Processes
"The 4th edition of Ghahramani's book is replete with intriguing historical notes, insightful comments, and wellselected examples/exercises that, together, capture much of the essence of probability. Along with its Companion Website, the book is suitable as a primary resource for a first course in probability. Moreover, it...   Random Processes by Example
This volume first introduces the mathematical tools necessary for understanding and working with a broad class of applied stochastic models. The toolbox includes Gaussian processes, independently scattered measures such as Gaussian white noise and Poisson random measures, stochastic integrals, compound Poisson, infinitely divisible and stable...   


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