Xem 1-20 trên 975 kết quả Mining
  • Current research directions are looking at Data Mining (DM) and Knowledge Management (KM) as complementary and interrelated felds, aimed at supporting, with algorithms and tools, the lifecycle of knowledge, including its discovery, formalization, retrieval, reuse, and update. While DM focuses on the extraction of patterns, information, and ultimately knowledge from data (Giudici, 2003; Fayyad et al.

    pdf465p truongbao 31-07-2009 594 132   Download

  • Oracle 10g Data Mining Application Developers guide WW Oracle Database 10g, released in 2003 and the current release, enables grid (the g in 10g) computing. A grid is simply a pool of computers that provides needed resources for applications on an as-needed basis. The goal is to provide comput- ing resources that transparently scale to the user community, much as an electri- cal utility company can deliver power to meet peak demand by accessing energy from other power providers’ plants via a power grid.

    pdf128p vitconxinhdep 30-07-2009 190 70   Download

  • In an effort to identify some of the most influential algorithms that have been widely used in the data mining community, the IEEE International Conference on Data Mining (ICDM, http://www.cs.uvm.edu/∼icdm/) identified the top 10 algorithms in data mining for presentation at ICDM ’06 in Hong Kong. This book presents these top 10 data mining algorithms: C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Na¨ıve Bayes, and CART.

    pdf206p trinh02 23-01-2013 61 31   Download

  • Advances in Knowledge Discovery and Data Mining aims to help data miners, researchers, scholars, and PhD students who wish to apply data mining techniques. The primary contribution of this book is highlighting frontier fields and implementations of the knowledge discovery and data mining. It seems to be same things are repeated again. But in general, same approach and techniques may help us in different fields and expertise areas. This book presents knowledge discovery and data mining applications in two different sections....

    pdf430p greengrass304 18-09-2012 69 30   Download

  • Tham khảo sách 'knowledge oriented applications in data mining', công nghệ thông tin, kỹ thuật lập trình phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

    pdf454p cucdai_1 22-10-2012 46 17   Download

  • The progress of data mining technology and large public popularity establish a need for a comprehensive text on the subject. The series of books entitled by "Data Mining" address the need by presenting in-depth description of novel mining algorithms and many useful applications. In addition to understanding each section deeply, the two books present useful hints and strategies to solving problems in the following chapters.

    pdf0p cucdai_1 20-10-2012 43 13   Download

  • Bài giảng Khai phá dữ liệu (Data mining): Chương 7 - Phát triển ứng dụng khai phá dữ liệu bao gồm những nội dung về vấn đề phát triển ứng dụng khai phá dữ liệu; qui trình phát triển ứng dụng khai phá dữ liệu; chuẩn dành cho khai phá dữ liệu; công cụ hỗ trợ phát triển ứng dụng khai phá dữ liệu.

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  • This book evolved from material developed over several years by Anand Raja-raman and Jeff Ullman for a one-quarter course at Stanford. The courseCS345A, titled “Web Mining,” was designed as an advanced graduate course,although it has become accessible and interesting to advanced undergraduates.What the Book Is AboutAt the highest level of description, this book is about data mining. However,it focuses on data mining of very large amounts of data, that is, data so largeit does not fit in main memory. Because of the emphasis on size, many of ourexamples are about the Web or data deri...

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  • SQL Server™ 2005: Data Mining SQL Server™ 2005: Data Mining Tasks Detailed Steps Figure 2: Execute Script g. When the scrip has executed successfully, select the File | Exit menu item to close the SQL Server Management Studio. Page 3 of 25

    pdf27p hoagiay_123 22-04-2013 28 8   Download

  • Bài giảng Khai phá dữ liệu (Data mining): Chương 6 - Khai phá luật kết hợp cung cấp cho các bạn những kiến thức tổng quan về khai phá luật kết hợp; biểu diễn luật kết hợp; khám phá các mẫu thường xuyên; khám phá các luật kết hợp từ các mẫu thường xuyên; khám phá các luật kết hợp dựa trên ràng buộc; phân tích tương quan.

    ppt67p cocacola_10 08-12-2015 17 8   Download

  • The field of medical informatics has grown rapidly over the past decade due to the advances in biomedical computing, the abundance of biomedical and genomic data, the ubiquity of the Internet, and the general acceptance of computing in various aspects of medical, biological, and health care research and practice. This book aims to be complementary to several other popular introductory medical informatics textbooks.

    pdf655p echbuon 02-11-2012 29 7   Download

  • Bài giảng Khai phá dữ liệu (Data mining) gồm có 7 chương với các nội dung chính sau: Tổng quan về khai phá dữ liệu, các vấn đề tiền xử lý dữ liệu, khai phá luật kết hợp, phân loại dữ liệu, gom cụm dữ liệu, phát triển ứng dụng khai phá dữ liệu, các đề tài nghiên cứu trong khai phá dữ liệu. Mời các bạn cùng tham khảo.

    pdf8p kiepnaybinhyen_01 01-12-2015 22 7   Download

  • Bài giảng Khai phá dữ liệu (Data mining): Chương 8 - ĐH Bách khoa TP.HCM được biên soạn nhằm cung cấp cho các bạn những kiến thức về các vấn đề nghiên cứu trong khai phá dữ liệu. Bài giảng phục vụ cho các bạn chuyên ngành Công nghệ thông tin và những vấn đề liên quan tới lĩnh vực này,.

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  • Bài giảng Khai phá dữ liệu (Data mining) - Chương 4 trình bày về phân loại dữ liệu. Các nội dung chính trong chương gồm: Tổng quan về phân loại dữ liệu, phân loại dữ liệu với cây quyết định, phân loại dữ liệu với mạng Bayesian, phân loại dữ liệu với mạng Neural, các phương pháp phân loại dữ liệu khác. Mời các bạn cùng tham khảo.

    ppt51p youcanletgo_01 04-01-2016 15 7   Download

  • Due to the growth of computer technologies and web technologies, we can easily collect and store large amounts of text data. We can believe that the data include useful knowledge. Text mining techniques have been studied aggressively in order to extract the knowledge from the data since late 1990s. Even if many important techniques have been developed, the text mining research field continues to expand for the needs arising from various application fields. This book is composed of 9 chapters introducing advanced text mining techniques.

    pdf226p camchuong_1 04-12-2012 30 6   Download

  • Bài giảng Khai phá dữ liệu (Data mining) gồm có 5 chương với những nội dung cụ thể như: Chương 1 - Tổng quan về khai phá dữ liệu, chương 1 - Tổng quan về khai phá dữ liệu, chương 3 - Khai phá luật kết hợp, chương 4 - Phân loại dữ liệu, chương 5 - Gom cụm dữ liệu. Mời các bạn cùng tham khảo.

    ppt7p youcanletgo_01 04-01-2016 20 6   Download

  • The possibilities for data mining from large text collections are virtually untapped. Text expresses a vast, rich range of information, but encodes this information in a form that is difficult to decipher automatically. Perhaps for this reason, there has been little work in text data mining to date, and most people who have talked about it have either conflated it with information access or have not made use of text directly to discover heretofore unknown information.

    pdf8p bunrieu_1 18-04-2013 19 4   Download

  • Given a set of transactions, find rules that will predict the occurrence of an item based on the occurrences of other items in the transaction. Given a set of transactions T, the goal of association rule mining is to find all rules having support ≥ minsup threshold confidence ≥ minconf threshold Brute-force approach: List all possible association rules Compute the support and confidence for each rule Prune rules that fail the minsup and minconf thresholds  Computationally prohibitive!...

    ppt82p trinh02 18-01-2013 29 3   Download

  • Natural language questions have become popular in web search. However, various questions can be formulated to convey the same information need, which poses a great challenge to search systems. In this paper, we automatically mined 5w1h question reformulation patterns from large scale search log data.

    pdf6p nghetay_1 07-04-2013 18 3   Download

  • Mining bilingual data (including bilingual sentences and terms1) from the Web can benefit many NLP applications, such as machine translation and cross language information retrieval. In this paper, based on the observation that bilingual data in many web pages appear collectively following similar patterns, an adaptive pattern-based bilingual data mining method is proposed.

    pdf9p hongphan_1 14-04-2013 14 3   Download

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