Software architecture is often confused with low-level design and the technology stack. Technology vendors and popular technology-focused journals tend to propagate this misunderstanding. As a result, many software engineers produce architecture des
This series aims to capture new developments and applications in data mining and knowledge discovery, while summarizing the computational tools and techniques useful in data analysis. This series encourages the integration of mathematical, statistic
Intrusion detection and analysis has received a lot of criticism and publicity over the last several years. The Gartner report took a shot saying Intrusion Detection Systems are dead, while others believe Intrusion Detection is just reaching its mat
This book describes data structures, methods of organizing large amounts of data, and algorithm analysis, the estimation of the running time of algorithms.非常经典的书！
Plant Proteomics Methods and Protocols —————————————————————————— The aim of Plant Proteomics: Methods and Protocols is to present up-to- date methods and protocols used by recognized scientists in the world of plant proteomics. If this world was a
This book describes data structures, methods of organizing large amounts of data, and algorithm analysis, the estimation of the running time of algorithms
Most data compression methods that are based on variable-length codes employ the Huffman or Golomb codes. However, there are a large number of less-known codes that have useful properties - such as those containing certain bit patterns, or those tha
Traditional data mining methods are designed to deal with “static” databases, i.e. databases where the ordering of records (or other database objects) has nothing to do with the patterns of interest. Though the assumption of order irrelevance may be
This book is a thorough introduction to the most important topics in data mining and machine learning. It begins with a detailed review of classical function estimation and proceeds with chapters on nonlinear regression, classification, and ensemble
Edited by Nong Ye, Lawrence Erlbaum Associates, Inc, 2003 Table of Content I: METHODOLOGIES OF DATA MINING 1 Decision Trees 2 Association Rules 3 Artificial Neural Network Models for Data Mining 4 Statistical Analysis of Normal and Abnormal Data 5 B
Soft Methods for Data Science 英文无水印原版pdf pdf所有页面使用FoxitReader、PDF-XChangeViewer、SumatraPDF和Firefox测试都可以打开 本资源转载自网络，如有侵权，请联系上传者或csdn删除 查看此书详细信息请在美国亚马逊官网搜索此书
网格计算环境下的数据挖掘 2008 英文原版新书 Modern organizations acrossmany sectors rely increasingly on computerized information pro- cesses and infrastructures. This is particularly true for high-tech and knowledge sectors such as finance, communication, engineering,
Depth-Based Hand Pose Estimation: Methods, Data, and Challenges See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/324223552
