Temat: data mining - Prolib Integro

Skocz do pozycji: 1.

Tytuł:: Metody eksploracji danych i ich zastosowanie
Data mining methods and their applications
Autorzy:: Racka, Katarzyna
Tematy:: data mining
data mining methods
examples of data mining methods applications
data mining software; Pokaż więcej
Wydawca:: Mazowiecka Uczelnia Publiczna w Płocku
Powiązania:: https://bibliotekanauki.pl/articles/446781.pdf Link otwiera się w nowym oknie
Opis:: Success in the financial market reach those companies that having fast access to data can it properly used. In modern databases and data warehouse are collected vast amounts of information, which man himself is not able to quickly analyze. For this purpose are used the data mining methods that enable the discovery of new knowledge, that is, rules, patterns and relationships in large databases. The aim of this article is to present the data mining methods and their applications. Article is divided into two parts. In the first part of the article explains the concept of data mining and data mining methods are discussed and provides examples of their applications. In the second part of the article presents the companies selling on the Polish market commercial data mining software and examples od free open-source data mining software are discussed.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Integration of candidate hash trees in concurrent processing of frequent itemset queries using Apriori
Autorzy:: Grudziński, P.
Wojciechowski, M.
Tematy:: data mining
frequent itemset mining
data mining queries; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Instytut Badań Systemowych PAN
Powiązania:: https://bibliotekanauki.pl/articles/970835.pdf Link otwiera się w nowym oknie
Opis:: Frequent itemset mining is often regarded as advanced querying where a user specifies the source dataset and pattern constraints using a given constraint model. In this paper we address the problem of processing batches of frequent itemset queries using the Apriori algorithm. The best solution of this problem proposed so far is Common Counting, which consists in concurrent execution of the queries using Apriori with the integration of scans of the parts of the database shared among the queries. In this paper we propose a new method - Common Candidate Tree, offering a more tight integration of the concurrently processed queries by sharing memory data structures, i.e., candidate hash trees. The experiments show that Common Candidate Tree outperforms Common Counting in terms of execution time. Moreover, thanks to smaller memory consumption, Common Candidate Tree can be applied to larger batches of queries.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: The Big Data Mining Approach For Finding Top Rated URL
Autorzy:: Shyam Mohan, J. S.
Shanmugapriya, P.
Kumar, Bhamidipati Vinay Pawan
Tematy:: big data
data mining; Pokaż więcej
Wydawca:: Społeczna Akademia Nauk w Łodzi
Powiązania:: https://bibliotekanauki.pl/articles/108631.pdf Link otwiera się w nowym oknie
Opis:: Finding out the widely used URL’s from online shopping sites for any particular category is a difficult task as there are many heterogeneous and multi-dimensional data set which depends on various factors. Traditional data mining methods are limited to homogenous data source, so they fail to sufficiently consider the characteristics of heterogeneous data. This paper presents a consistent Big Data mining search which performs analytics on text data to find the top rated URL’s. Though many heuristic search methods are available, our proposed method solves the problem of searching compared with traditional methods in data mining. The sample results are obtained in optimal time and are compared with other methods which is effective and efficient.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Przegląd i klasyfikacja zastosowań, metod oraz technik eksploracji danych
Data mining review and use’s classification, methods and techniques
Autorzy:: Mirończuk, Marcin
Tematy:: techniki eksploracji danych
zastosowania eksploracji danych
ED
eksploracja danych
metody eksploracji danych
data mining
data mining methods
data mining techniques
data mining classification
data minig review; Pokaż więcej
Wydawca:: Uniwersytet Kazimierza Wielkiego w Bydgoszczy
Powiązania:: https://bibliotekanauki.pl/articles/41204012.pdf Link otwiera się w nowym oknie
Opis:: Wzrost ilości danych jak i informacji w aktualnych systemach informacyjnych wymusił powstanie nowych procesów oraz technik i metod do ich składowania, przetwarzania oraz analizowania. Do analizy dużych zbiorów danych aktualnie wykorzystuje się osiągnięcia z obszaru analizy statystycznej oraz sztucznej inteligencji (ang. artificial intelligence). Dziedziny te wykorzystane w ramach procesu analizy dużych ilości danych stanowią rdzeń eksploracji danych. Aktualnie eksploracja danych pretenduje do stania się samodzielną metodą naukową wykorzystywaną do rozwiązywania problemów analizy informacji pochodzących m.in. z systemów ich zarządzania. W niniejszym artykule dokonano przeglądu i klasyfikacji zastosowań oraz metod i technik wykorzystywanych podczas procesu eksploracji danych. Dokonano w nim także omówienia aktualnych kierunków rozwoju i elementów składających się na tą młodą stosowaną dziedzinę nauki.
The large quantity of the data and information accumulated into actual information systems and their successive extension extorted the development of new processes, techniques and methods to their storing, processing and analysing. Currently the achievement from the statistical analyses and artificial intelligence area are use to the analysis process of the large data sets. These fields make up the core of data exploration - data mining. Currently the data mining aspires to independent scientific method which one uses to solving problems from range of information analysis comes from the data bases menagments systems. In this article was described review and use's classification, methods and techniques which they are using in the process of the data exploration. In this article also was described actual development direction and described elements which require this young applied discipline of the science.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Combining classifiers for foreign pattern rejectionCombining classifiers for foreign pattern rejection
Autorzy:: Homenda, Władysław
Jastrzębska, Agnieszka
Pedrycz, Witold
Yu, Fusheng
Tematy:: data mining
knowledge engineering; Pokaż więcej
Wydawca:: Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Powiązania:: https://bibliotekanauki.pl/articles/1837475.pdf Link otwiera się w nowym oknie
Opis:: In this paper, we look closely at the issue of contaminated data sets, where apart from legitimate (proper) patterns we encounter erroneous patterns. In a typical scenario, the classification of a contaminated data set is always negatively influenced by garbage patterns (referred to as foreign patterns). Ideally, we would like to remove them from the data set entirely. The paper is devoted to comparison and analysis of three different models capable to perform classification of proper patterns with rejection of foreign patterns. It should be stressed that the studied models are constructed using proper patterns only, and no knowledge about thecharacteristics of foreign patterns is needed. The methods are illustrated with a case study of handwritten digits recognition, but the proposed approach itself is formulated in a general manner. Therefore, it can be applied to different problems. We have distinguished three structures: global, local, and embedded, all capable to eliminate foreign patterns while performing classification of proper patterns at the same time. A comparison of the proposed models shows that the embedded structure provides the best results but at the cost of a relatively high model complexity. The local architecture provides satisfying results and at the same time is relatively simple.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: A new method for automatic determining of the DBSCAN parameters
Autorzy:: Starczewski, Artur
Goetzen, Piotr
Er, Meng Joo
Tematy:: clustering algorithms
DBSCAN
data mining; Pokaż więcej
Wydawca:: Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Powiązania:: https://bibliotekanauki.pl/articles/1837535.pdf Link otwiera się w nowym oknie
Opis:: Clustering is an attractive technique used in many fields in order to deal with large scale data. Many clustering algorithms have been proposed so far. The most popular algorithms include density-based approaches. These kinds of algorithms can identify clusters of arbitrary shapes in datasets. The most common of them is the Density-Based Spatial Clustering of Applications with Noise (DBSCAN). The original DBSCAN algorithm has been widely applied in various applications and has many different modifications. However, there is a fundamental issue of the right choice of its two input parameters, i.e the eps radius and the MinPts density threshold. The choice of these parameters is especially difficult when the density variation within clusters is significant. In this paper, a new method that determines the right values of the parameters for different kinds of clusters is proposed. This method uses detection of sharp distance increases generated by a function which computes a distance between each element of a dataset and its k-th nearest neighbor. Experimental results have been obtained for several different datasets and they confirm a very good performance of the newly proposed method.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 7.

Tytuł:: Modeling preparation for data mining processes
Autorzy:: Eule, T.
Tematy:: data mining
data preparation
KDD process; Pokaż więcej
Wydawca:: Instytut Łączności - Państwowy Instytut Badawczy
Powiązania:: https://bibliotekanauki.pl/articles/308872.pdf Link otwiera się w nowym oknie
Opis:: Today many different software tools for decision support exist; the same is true for data mining which can be seen as a particularly challenging sub-area of decision support. Choosing the most suitable tool for a particular industrial data mining application is becoming difficult, especially for industrial decision makers whose expertise is in a different field. This paper provides a conceptual analysis of crucial features of current data mining software tools, by establishing an abstract view on typical processes in data mining. Thus a common terminology is given which simplifies the comparison of tools. Based on this analysis, objective decisions for the application of decision supporting software tools in industrial practice can be made.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 8.

Tytuł:: Using advanced data mining and integration in environmental prediction scenarios
Autorzy:: Habala, O.
Hluchy, L.
Tran, V.
Krammer, P.
Seleng, M.
Tematy:: data mining
data integration
meteorology
hydrology; Pokaż więcej
Wydawca:: Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Powiązania:: https://bibliotekanauki.pl/articles/305607.pdf Link otwiera się w nowym oknie
Opis:: We present one of the meteorological and hydrological experiments performed in the FP7 project ADMIRE. It serves as an experimental platform for hydrologists, and we have used it also as a testing platform for a suite of advanced data integration and data mining (DMI) tools, developed within ADMIRE. The idea of ADMIRE is to develop an advanced DMI platform accessible even to users who are not familiar with data mining techniques. To this end, we have designed a novel DMI architecture, supported by a set of software tools, managed by DMI process descriptions written in a specialized high-level DMI language called DISPEL, and controlled via several different user interfaces, each performing a different set of tasks and targeting different user group.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 9.

Tytuł:: Briefly on the GUHA method of data mining
Autorzy:: Hajek, P.
Tematy:: GUHA method
data mining
exploratory data analysis; Pokaż więcej
Wydawca:: Instytut Łączności - Państwowy Instytut Badawczy
Powiązania:: https://bibliotekanauki.pl/articles/307807.pdf Link otwiera się w nowym oknie
Opis:: The paper gives brief, user-oriented, information on the GUHA method.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 10.

Tytuł:: Towards human consistent data driven decision support systems using verbalization of data mining results via linguistic data summaries
Autorzy:: Kacprzyk, J.
Szadrozny, S.
Tematy:: decision support system
data mining; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Powiązania:: https://bibliotekanauki.pl/articles/200700.pdf Link otwiera się w nowym oknie
Opis:: We present how the conceptually and numerically simple concept of a fuzzy linguistic database summary can be a very powerful tool for gaining much insight into the essence of data that may be relevant for a business activity. The use of linguistic summaries provides tools for the verbalization of data analysis (mining) results which, in addition to the more commonly used visualization e.g. via a GUI, graphical user interface, can contribute to an increased human consistency and ease of use. The results (knowledge) derived are in a simple, easily comprehensible linguistic form which can be effectively and efficiently employed for supporting decision makers via the data driven decision support system paradigm. Two new relevant aspects of the analysis are also outlined which was first initiated by the authors. First, following Kacprzyk and Zadrożny [1] comments are given on an extremely relevant aspect of scalability of linguistic summarization of data, using their new concept of a conceptual scalability that is crucial for large applications. Second, following Kacprzyk and Zadrożny [2] it is further considered how linguistic data summarization is closely related to some types of solutions used in natural language generation (NLG), which can make it possible to use more and more effective and efficient tools and techniques developed in this another rapidly developing area. An application of a computer retailer is outlined.
Dostawca treści:: Biblioteka Nauki

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