fuzzy_notes

Web数据挖掘(世界著名计算机教材精选),作者BingLiu刘冰 刘兵(BingLiu)，伊利诺伊大学芝加哥分校(UIC)教授，他在爱丁堡大学获得人工智能博士学位。刘兵教授是Web挖掘研究领域的国际知名专家，在Web内容挖掘、互联网观点挖掘、数据挖掘等领域有非常高的造诣，他先后在国际著名学术期刊与重要国际学术会议(如KDD、WWW、AAAI、SIGIR、ICML、TKDE等)上发布关于数据挖掘、Web挖掘和文本挖掘论文一百多篇。刘兵教授担任过多个国际期刊的编辑，也是多个国际学术会议(如WWW、KDD与AAAI等)的程序委员会委员。 本书旨在阐述web数据挖掘的概念及其核心算法，使读者获得相对完整的关于web数据挖掘的算法和技术知识。本书不仅介绍了搜索、页面爬取和资源探索以及链接分析等传统的Web挖掘主题，而且还介绍了结构化数据的抽取、信息整合、观点挖掘和Web使用挖掘等内容，这些内容在已有书籍中没有提及过，但它们在Web数据挖掘中却占有非常重要的地位。全书分为两大部分：第一部分包括第2章到第5章，介绍数据挖掘的基础；第二部分包括第6章到第12章，介绍Web相关的挖掘任务。 (Web data mining (world-renowned computer materials selection), the authors BingLiu Liu Bing Liu Bing (BingLiu), University of Illinois at Chicago (UIC) professor, Ph.D. in Artificial Intelligence at Edinburgh University. Professor Liu Bing is the field of Web mining research internationally renowned expert in Web content mining, Internet, view mining, data mining and other areas have very high attainments, he worked in internationally renowned academic journals and major international conferences (such as KDD, WWW, AAAI, SIGIR, ICML, TKDE, etc.) on the release of data mining, Web mining and text mining papers more than a hundred articles. Professor Liu Bing served as editor of several international journals, but also a number of international conferences (such as WWW, KDD and AAAI, etc.) of the Program Committee. This book seeks to explain the concept and web data mining of the core algorithm, so that readers gain a relatively complete information on web data mining algorithms )

excel教案 供大家使用 交流 特别是教育工作者们(excel lesson plans)

说明：  虚拟仪器代表着目前测试仪器领域的发展方向，LabⅥEw语言是一种功能强大的仪器开发平台。对淹没在噪声中声发射信号的有效提取(去噪)是声发射信号处理技术的第一步，也是声发射信号处理的关键所在。本文介绍了基于小波变换的阈值去噪方法。在LabⅥEw平台上，通过仿真试验，对声发射信号的几种阈值法的去噪结果进行比较，选出一种适合声发射信号去噪的阈值准则。(Virtual instrument on behalf of the current developments in the field of testing equipment direction, Lab Ⅵ Ew language is a powerful development platform apparatus. Submerged in the noise of the acoustic emission signal in the effective extraction (denoising) is the acoustic emission signal processing technology, a first step, the acoustic emission signal processing is the key. In this paper, based on wavelet transform thresholding denoising method. Lab Ⅵ Ew in the platform through the simulation of acoustic emission signals of several denoising threshold method for comparison of results to elect a suitable acoustic emission signal de-noising threshold criteria.)

This paper presents a clustering approach which estimates the specific subspace and the intrinsic dimension of each class. Our approach adapts the Gaussian mixture model framework to high-dimensional data and estimates the parameters which best fit the data. We obtain a robust clustering method called High- Dimensional Data Clustering (HDDC). We apply HDDC to locate objects in natural images in a probabilistic framework. Experiments on a recently proposed database demonstrate the effectiveness of our clustering method for category localization.

EMC信息存储与管理 作 者:(美国)萨曼达 人民邮电出版社(EMC information storage and management of: (U.S.) Saman Da People' s Posts and Telecommunications Press)

光纤传输特性 衰耗系数 是多模光纤和单模光纤最重要的特性参数之一，在很大程度上决定了多模和单模光纤通信的中继距离(Transmission characteristics of optical fiber attenuation)

本代码用于在 GOLOIS域上 校验矩阵和生成矩阵的相互转换 (code for the domain in GOLOIS check matrix and the formation matrix conversion)

基金投资从入门到精通 基金投资从入门到精通 基金投资从入门到精通(funds from the investment fund proficient portal to portal investment from the investment of funds from proficient to proficient portal Fund investment income from proficient doors to investment funds from entry level to proficiency)

A Learning Theory Approach to System Identifi cation and Stochastic Adaptive Control

针对传统煤矿节能减排优化模型选取的目标函数比较单一的问题,构建了涵盖经济效益、能源消耗、污染物排放量等目标函数的煤矿节能减排多目标优化模型,并应用基于改进的蝙蝠算法寻找3个目标函数之间的优化解,实现了经济效益最大化、能源消耗最低化、污染物排放量最少化的优化结果。仿真结果表明,相比于PSO-E、NSGA-II算法,改进的蝙蝠算法能够在较短的迭代步数内获取较高的个体适应度,且能够实现较佳的多目标优化结果,符合节能规划的目标需求。(Aiming at the problem that the objective function of the traditional coal mine energy saving and emission reduction optimization model is relatively simple, the multi-objective optimization model of coal mine energy saving and emission reduction is constructed, which covers economic benefit, energy consumption and pollutant emission. And the optimized solution is used to find the 3 target functions based on the improved bat algorithm, and the economy is realized. The optimization results of maximizing efficiency, minimizing energy consumption and minimizing pollutant emissions are achieved. The simulation results show that, compared with the PSO-E and NSGA-II algorithms, the improved bat algorithm can obtain higher individual fitness within a shorter iteration step, and can achieve better multi-objective optimization results, which is in line with the target demand of energy saving planning.)