Xem 1-20 trên 110 kết quả Mining techniques
  • In this paper, we present a novel approach for automatic summarization. Our system, called CBSEAS, integrates a new method to detect redundancy at its very core, and produce more expressive summaries than previous approaches. Moreover, we show that our system is versatile enough to integrate opinion mining techniques, so that it is capable of producing opinion oriented summaries. The very competitive results obtained during the last Text Evaluation Conference (TAC 2008) show that our approach is efficient. ...

    pdf4p bunthai_1 06-05-2013 15 2   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

  • 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 71 30   Download

  • Tham khảo tài liệu 'john wiley sons data mining techniques for marketing sales_10', kinh doanh - tiếp thị, quản trị kinh doanh phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • Tham khảo tài liệu 'john wiley sons data mining techniques for marketing sales_1', kinh doanh - tiếp thị, quản trị kinh doanh phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • Tham khảo tài liệu 'description data mining techniques for marketing_4', khoa học xã hội, kinh tế chính trị phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • Tham khảo tài liệu 'john wiley sons data mining techniques for marketing sales_6', kinh doanh - tiếp thị, quản trị kinh doanh phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

    pdf34p luly_meo4 09-02-2012 24 4   Download

  • Tham khảo tài liệu 'description data mining techniques for marketing_11', khoa học xã hội, kinh tế chính trị phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • Tham khảo tài liệu 'description data mining techniques for marketing_14', khoa học xã hội, kinh tế chính trị phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

    pdf34p cuxi_1669 20-02-2012 24 4   Download

  • Tham khảo tài liệu 'description data mining techniques for marketing_8', khoa học xã hội, kinh tế chính trị phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • We introduce an error mining technique for automatically detecting errors in resources that are used in parsing systems. We applied this technique on parsing results produced on several million words by two distinct parsing systems, which share the syntactic lexicon and the pre-parsing processing chain. We were thus able to identify missing and erroneous information in these resources.

    pdf8p hongvang_1 16-04-2013 12 2   Download

  • Parsing systems which rely on hand-coded linguistic descriptions can only perform adequately in as far as these descriptions are correct and complete. The paper describes an error mining technique to discover problems in hand-coded linguistic descriptions for parsing such as grammars and lexicons. By analysing parse results for very large unannotated corpora, the technique discovers missing, incorrect or incomplete linguistic descriptions. The technique uses the frequency of n-grams of words for arbitrary values of n.

    pdf8p bunbo_1 17-04-2013 10 1   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

  • This book will immerse you in a variety of advanced topics, including architecting different application data tiers, memory caching paradigms, data mining, and search engine optimization. Working through step-by-step exercises using P/LINQ, DLR, MEF, MVC, IronPython, Axum, and Ajax, you will learn a variety of approaches to building each of the key application tiers common to all web solutions.

    pdf316p stingdau_123 17-01-2013 68 28   Download

  • There are a number of good reasons to ground but primary among them is to ensure personnel safety. The following agencies and organizations all have recommendations and / or standards for grounding, to ensure that personnel safety is being protected.

    pdf20p ndkhuong177 14-07-2012 67 18   Download

  • Ebook "Data Mining Practical Machine Learning Tools and Techniques" present on: Machine learning tools and techniques, The Weka machine learning workbench,... Invite you to consult. Hope content useful document serves the academic needs and research.

    pdf558p ktmoitruong 02-04-2016 16 5   Download

  • Methods for analysing trauma injury data with missing values, collected at a UK hospital, are reported. One measure of injury severity, the Glasgow coma score, which is known to be associated with patient death, is missing for 12% of patients in the dataset. In order to include these 12% of patients in the analysis, three different data imputation techniques are used to estimate the missing values.

    pdf6p giacattan 05-01-2013 24 3   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

  • Overview of data mining. Emphasis is placed on basic data mining concepts. Techniques for uncovering interesting data patterns hidden in large data sets. Data mining has attracted a great deal of attention in the information industry and in society as a whole in recent years.

    pdf72p lalala06 02-12-2015 3 3   Download

  • In recent years, error mining approaches were developed to help identify the most likely sources of parsing failures in parsing systems using handcrafted grammars and lexicons. However the techniques they use to enumerate and count n-grams builds on the sequential nature of a text corpus and do not easily extend to structured data.

    pdf9p nghetay_1 07-04-2013 14 2   Download

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