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Mining interesting patterns

Xem 1-9 trên 9 kết quả Mining interesting patterns
  • The paper attains to finding the association among interested activities in orchard that stimulate the tourists to travel. The knowledge obtained in this study is applying data mining techniques to create the association rule in order to find out the pattern of activities for orchard tourism.

    pdf7p guernsey 28-12-2021 7 0   Download

  • Over the years there has been growing interest regarding the effects of climatic variations on marine biodiversity. The exclusive economic zones of South Pacific Islands and territories are home to major international exploitable stocks of albacore tuna (Thunnus alalunga); however the impact of climatic variations on these stocks is not fully understood. This study was aimed at deter-mining the climatic variables which have impact on the time series stock fluctuation pattern of albacore tuna stock in the Eastern and Western South Pacific Ocean which was divided into three zones.

    pdf19p mentospurefresh 29-11-2019 9 2   Download

  • Characterization of user activities is an important issue in the design and maintenance of websites. Server weblog files have abundant information about the user’s current interests. This information can be mined and analyzed therefore the administrators may be able to guide the users in their browsing activity so they may obtain relevant information in a shorter span of time to obtain user satisfaction.

    pdf11p kequaidan1 16-11-2019 38 2   Download

  • Frequent sequential pattern mining in item interval extended sequence database (iSDB) has been one of the interesting tasks in recent years. Unlike classic frequent sequential pattern mining, the pattern mining in iSDB also considers the item interval between successive items; thus, it may extract more meaningful sequential patterns in real life.

    pdf16p viconandoyle2711 29-08-2019 14 0   Download

  • The growth of social media sites, such as Twitter, which can provide a visual record of the daily interests and concerns of people in the form of their tweets and tweeting behaviors, has led to an increasing demand among enterprise users, to be able to identify those users who are interested in the services and products that these enterprises offer.

    pdf14p vithanos2711 09-08-2019 14 1   Download

  • This paper proposes a framework for mining high utility-probability sequences (HUPSs) in uncertain QSDBs (UQSDBs) with multiple minimum utility thresholds using a minimum utility. Two new width and depth pruning strategies are also introduced to eliminate low utility or low probability sequences as well as their extensions early, and to reduce the sets of candidate items for extensions during the mining process.

    pdf20p vinaruto2711 05-04-2019 30 1   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 52 6   Download

  • Data Collection: No interesting patterns can be validly discovered without a set of historical data that is representative of the population of interest. Each observation in the historical data set should belong to exactly one of the predetermined classes. In direct marketing, such historical data is collected by observing the purchasing behaviours of customers from a previous campaign. Customers in the previous campaign may or may not have received the direct promotion. Whether a customer was to receive the direct promotion may have been randomly decided or by a data mining model.

    pdf0p lenh_hoi_xung 21-02-2013 40 3   Download

  • With the ever increasing amounts of data in electronic form, the need for automated methods for data analysis continues to grow. The goal of machine learning is to develop methods that can automatically detect patterns in data, and then to use the uncovered patterns to predict future data or other outcomes of interest. Machine learning is thus closely related to the fields of statistics and data mining, but differs slightly in terms of its emphasis and terminology.

    pdf0p hotmoingay3 09-01-2013 143 17   Download

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