Description: 采用纯C语言编写的遗传算法源程序，广泛用于数据挖掘和人工智能中-using pure C language source of the genetic algorithm, widely used in data mining and artificial intelligence! ! Platform: |
Size: 86158 |
Author:周君 |
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Description: a Java toolkit for training, testing, and applying Bayesian Network Classifiers. Implemented classifiers have been shown to perform well in a variety of artificial intelligence, machine learning, and data mining applications. -a Java toolkit for training, testing, and applying Bayesian Network Classifiers. Im plemented classifiers have been shown to perfo rm well in a variety of artificial intelligence , machine learning, and data mining applications. Platform: |
Size: 504530 |
Author:lyb |
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Description: 短期负荷预测对电力系统的经济和安全运行有重要作用随着人工智能技术和高深数学理论的发展,为负荷预测研究开辟了新途径和新方法电力市场竞争机制引入对负荷预测提出新要求各种随机因素对负荷预测的影响尚未取得完善研究方法据此对负荷预测的研究一直是人们研究的热点本文是根据课题组研究工作在总结的基础上重点介绍模糊集理论数据挖掘小波分析混沌理论的负荷预测研究
关键词短期负荷预测智能技术模糊集理论数据挖掘小波分析混沌理论-short-term load forecasts on the power system to the economic and security operations with an important role in artificial intelligence technology and highly few Theories of development, load forecasting for the research opens up new ways and new methods of competition in the electricity market mechanisms to introduce new load forecasting with the various requirements Load factors for prediction of the impact has been no perfect method of load forecast accordingly research has been a hot research This is the point under discussion group study concluded on the basis of focus on the fuzzy set theory wavelet analysis data mining Jimmy Chaos On the load forecast studies Keywords short-term load forecasts intelligence technology fuzzy set theory wavelet analysis data mining Chaos Theory Platform: |
Size: 50921 |
Author:bluebowl |
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Description: 采用纯C语言编写的遗传算法源程序，广泛用于数据挖掘和人工智能中-using pure C language source of the genetic algorithm, widely used in data mining and artificial intelligence! ! Platform: |
Size: 86016 |
Author:周君 |
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Description: a Java toolkit for training, testing, and applying Bayesian Network Classifiers. Implemented classifiers have been shown to perform well in a variety of artificial intelligence, machine learning, and data mining applications. -a Java toolkit for training, testing, and applying Bayesian Network Classifiers. Im plemented classifiers have been shown to perfo rm well in a variety of artificial intelligence , machine learning, and data mining applications. Platform: |
Size: 503808 |
Author:lyb |
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Description: 该包是数据结构的实验软件,来源于合肥工业大学人工智能与数据挖掘实验室,用来实现数据结构.-The packet data structure is experimental software, from Hefei University of Artificial Intelligence and Data Mining Laboratory, used to realize data structure. Platform: |
Size: 3405824 |
Author:wanglijun |
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Description: Web数据挖掘作为数据挖掘技术和Internet应用研究相结合的研究领域，涉及机器学习、数理统计、数据库、神经网络、模式识别、粗糙集、模糊数学等人工智能相关技术，目前已经发展成为一个受到社会各界关注的研究热点。-Web Data Mining as a data mining technology and Internet application that combines research involving machine learning, mathematical statistics, databases, neural networks, pattern recognition, rough sets, fuzzy mathematics, such as artificial intelligence-related technologies, has now been developed into a society concern of the hot spots from all walks of life. Platform: |
Size: 109568 |
Author:梁旭 |
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Description: 机器学习这门学科研究的是能通过经验自动改进的计算机算法，其应用从数据挖掘程序到信息过滤系统，再到自动机工具，已经非常丰富。机器学习从很多学科吸收了成果和概念，包括人工智能、概论论与数理统计、哲学、信息论、生物学、认知科学和控制论等，并以此来理解问题的背景、算法和算法中的隐含假定。-Machine learning is the study of the discipline automatically improve through experience, the computer algorithm, its application from the data mining procedures to information filtering systems, to the automated machine tools, has been very rich. Machine learning from many disciplines to absorb the results and concepts, including artificial intelligence, Introduction to theory and mathematical statistics, philosophy, information theory, biology, cognitive science and cybernetics, etc., and in order to understand the background, algorithms, and algorithm implicit assumptions. Platform: |
Size: 616448 |
Author:徐荣 |
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Description: “机器学习”是人工智能的核心研究领域之一， 其最初的研究动机是为了让计算机系统具有人的学习能力以便实现人工智能，因为众所周知，没有学习能力的系统很难被认为是具有智能的。“数据挖掘”和“知识发现”通常被相提并论，并在许多场合被认为是可以相互替代的术语。据库界提供的技术来管理海量数据。
因为机器学习和数据挖掘有密切的联系，受主编之邀，本文把它们放在一起做一个粗浅的介绍。-" Machine learning" is the core research areas of artificial intelligence, its initial research motivation is to enable the computer system with a person' s ability to learn in order to achieve artificial intelligence, it is well known, there is no ability to learn the system can hardly be considered a smart . " Data mining" and " knowledge discovery" is often compared, and in many cases be considered as substitutes for one term. According to library community to provide technology to manage the vast amounts of data. Because of machine learning and data mining are closely linked, was invited by the editor of this paper, put them together to make a superficial introduction. Platform: |
Size: 479232 |
Author:cs |
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Description: 有关人工智能，数据挖掘中的决策树算法的实现包括相关的测试数据-On artificial intelligence, data mining, decision tree algorithm in the implementation, including relevant test data Platform: |
Size: 3691520 |
Author:常 |
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Description: 数据挖掘和知识发现（Data Mining and Knowledge Discovery，DMKD）技术就是在这样的背景下产生的，是在数据库技术、机器学习、人工智能、统计分析、模型逻辑、人工神经网络和专家系统等基础上发展起来的新兴交叉科学，是继网络之后的又一个技术热点。如果将数据库中的大量数据比喻为矿床，则DMKD技术就是从这矿床中挖掘知识的“金块”的工具。由于其诱人的前景和巨大的难道，使得DMKD成为计算机信息处理领域的研究热点和前沿技术。-Data Mining and Knowledge Discovery (Data Mining and Knowledge Discovery, DMKD) technology is produced in this background is in database technology, machine learning, artificial intelligence, statistical analysis, model logic, artificial neural network and expert system based on developed new interdisciplinary science, is the second network technology hot spot after another. If the database of a large number of data compared to deposits, the DMKD technology is the knowledge of mining this deposit, the "gold" tool. Because of its attractive prospects and huge Could make DMKD a computer information processing in the field of research focus and cutting-edge technology Platform: |
Size: 7132160 |
Author:kizo |
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Description: 数据挖掘和知识发现（Data Mining and Knowledge Discovery，DMKD）技术就是在这样的背景下产生的，是在数据库技术、机器学习、人工智能、统计分析、模型逻辑、人工神经网络和专家系统等基础上发展起来的新兴交叉科学，是继网络之后的又一个技术热点。如果将数据库中的大量数据比喻为矿床，则DMKD技术就是从这矿床中挖掘知识的“金块”的工具。由于其诱人的前景和巨大的难道，使得DMKD成为计算机信息处理领域的研究热点和前沿技术。-Data Mining and Knowledge Discovery (Data Mining and Knowledge Discovery, DMKD) technology is produced in this background is in database technology, machine learning, artificial intelligence, statistical analysis, model logic, artificial neural network and expert system based on developed new interdisciplinary science, is the second network technology hot spot after another. If the database of a large number of data compared to deposits, the DMKD technology is the knowledge of mining this deposit, the "gold" tool. Because of its attractive prospects and huge Could make DMKD a computer information processing in the field of research focus and cutting-edge technology Platform: |
Size: 3072 |
Author:kizo |
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Description: This book offers students and AI programmers a new perspective on the study of artificial intelligence concepts. The essential topics and theory of AI are presented, but it also includes practical information on data input & reduction as well as data output (i.e., algorithm usage). Because traditional AI concepts such as pattern recognition, numerical optimization and data mining are now simply types of algorithms, a different approach is needed. This sensor / algorithm / effecter approach grounds the algorithms with an environment, helps students and AI practitioners to better understand them, and subsequently, how to apply them. The book has numerous up to date applications in game programming, intelligent agents, neural networks, artificial immune systems, and more. A CD-ROM with simulations, code, and figures accompanies the book. Platform: |
Size: 8158208 |
Author:sisi002 |
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Description: jBNC is a Java toolkit for training, testing, and applying
Bayesian Network Classifiers. Implemented classifiers have been
shown to perform well in a variety of artificial intelligence,
machine learning, and data mining applications.
jBNC is primarily intended as a library for creation of Bayesian
Classifier networks. Several algorithms for creation of networks
are included.
To aid testing the quality of classifier network a couple of simple
command line tools for training and testing are included, see section
TOOLS for more details.
There is also a separate package called jBNC-WEKA that integrates
jBNC with WEKA (Waikato Environment for Knowledge Analysis
http://www.cs.waikato.ac.nz/~ml). jBNC-WEKA allows creation of
jBNC classifiers from within WEKA, in particular, using WEKA s
graphical user interface. For more info see jBNC homepage. Platform: |
Size: 828416 |
Author:sakthivel |
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Description: 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 Platform: |
Size: 3355648 |
Author:陈东 |
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Description: 数据挖掘是知识发现过程的一个基本步
骤。KDD是一门交叉学科，它涉及统计学、数据库技术、计算机科学、模式识别、人工智能、机器学习等多个学科。
-Data mining is a fundamental step in the knowledge discovery process. KDD is an interdisciplinary, it involves statistics, database technology, computer science, pattern recognition, artificial intelligence, machine learning and other subjects. Platform: |
Size: 9589760 |
Author:毛玉凤 |
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Description: 在数据挖掘、人工智能等领域中，都常用到KD树来进行K近邻查找。本程序是自己用C++实现的一个KD树来进行的K近邻查找程序，包含建树和查找。文件中附有测试文件。-In data mining, artificial intelligence and other areas, it is commonly used to KD tree to find K nearest neighbor. This procedure is K neighbor Finder C++ they used to achieve a KD tree to carry out, including achievements and search. File with the test file. Platform: |
Size: 6462464 |
Author:风之痕lch |
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Description: 集体编程智慧电子版（英文版）
本书以机器学习与计算统计为主题背景，专门讲述如何挖掘和分析Web上的数据和资源，如何分析用户体验、市场营销、个人品味等诸多信息，并得出有用的结论，通过复杂的算法来从Web网站获取、收集并分析用户的数据和反馈信息，以便创造新的用户价值和商业价值。全书内容翔实，包括协作过滤技术（实现关联产品推荐功能）、集群数据分析（在大规模数据集中发掘相似的数据子集）、搜索引擎核心技术（爬虫、索引、查询引擎、PageRank算法等）、搜索海量信息并进行分析统计得出结论的优化算法、贝叶斯过滤技术（垃圾邮件过滤、文本过滤）、用决策树技术实现预测和决策建模功能、社交网络的信息匹配技术、机器学习和人工智能应用等。-Collective Programming Wisdom Electronic Edition (English Version)
The book focuses on machine learning and computational statistics. It focuses on mining and analyzing data and resources on the Web, analyzing user experiences, marketing, personal tastes, and other useful information. It uses sophisticated algorithms To collect, analyze and analyze user data and feedback the Web site in order to create new user value and business value. The book is informative, including collaborative filtering technology (to achieve associated product recommendation function), cluster data analysis (in a large-scale data set to explore similar data subset), search engine core technology (crawler, indexing, query engine, PageRank algorithm) Bayesian filtering technology (spam filtering, text filtering), decision tree technology to achieve prediction and decision-making modeling, social networking information matching technology, machine learning, and so on. Artificial intelligence applications. Platform: |
Size: 2630656 |
Author:mai |
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Search - artificial intelligence and data mining