John B. Conway, A Course in Functional Analysis, 2nd Edition, Springer-Verlag, 1990. Gert K. Pedersen, Analysis Now, Springer-Verlag, 1989. Walter Rudin, Functional Analysis, 2nd Edition, McGraw Hill, 1991. Robert J. Zimmer, Essential Results of Fun
Chapter 1 contains motivational material and also presents some background issues in computer architecture and programming-language principles. Chapter 2 develops a miniature compiler and introduces many of the important concepts, which are then dev
Honeypots for Windows作者:Roger A. Grimes The Experts VoiceInstalling a honeypot inside your network as an early warning system can significantly improve your security. Currently, almost every book and resource about honeypots comes from a Unix backgr
In compressed sensing and sparse representation-based pattern recognition, random projection with a dense random transform matrix is widely used for information extraction. However, the complicated structure makes dense random matrices computational
We consider in this demonstration the (static) analysis of data-centric process-based applications, namely applications that depend on an underlying database and whose control is guided by a finite state transition system. We observe that analysts o
Recent developments in genomics andmolecular biology finally carry the promise of understanding the functions of complex biological systems on a whole genome level. These developments have led to enormous amounts of data generated in highthroughput
CONTENTS I. GETTING STARTED. 1. Aspects of Multivariate Analysis. 2. Matrix Algebra and Random Vectors. 3. Sample Geometry and Random Sampling. 4. The Multivariate Normal Distribution. II. INFERENCES ABOUT MULTIVARIATE MEANS AND LINEAR MODELS. 5. In
Feel frustrated when opening a software trace with millions of messages from hundreds of software components, threads and processes? Go beyond simple CPU and disk hog monitoring or searching for errors in a text and learn how to efficiently and effe
This book covers case studies such as sentiment analysis on a tweet dataset, recommendations on a movielens dataset, customer segmentation on an ecommerce dataset, and graph analysis on actual flights dataset. This book is an end-to-end guide to imp
Aimed at econometricians who have completed at least one course in time series modeling, Multiple Time Series Modeling Using the SAS VARMAX Procedure will teach you the time series analytical possibilities that SAS offers today. Estimations of model
This book highlights state-of-the-art research on big data and the Internet of Things (IoT), along with related areas to ensure efficient and Internet-compatible IoT systems. It not only discusses big data security and privacy challenges, but also e
