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

Artykuł

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Skocz do pozycji: 2.

Tytuł:: Methodologies of knowledge discovery from data and data mining methods in mechanical engineering
Autorzy:: Rogalewicz, M.
Sika, R.
Tematy:: knowledge discovery
data mining methods
data mining methodology; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Powiązania:: https://bibliotekanauki.pl/articles/407431.pdf Link otwiera się w nowym oknie
Opis:: The paper contains a review of methodologies of a process of knowledge discovery from data and methods of data exploration (Data Mining), which are the most frequently used in mechanical engineering. The methodologies contain various scenarios of data exploring, while DM methods are used in their scope. The paper shows premises for use of DM methods in industry, as well as their advantages and disadvantages. Development of methodologies of knowledge discovery from data is also presented, along with a classification of the most widespread Data Mining methods, divided by type of realized tasks. The paper is summarized by presentation of selected Data Mining applications in mechanical engineering.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

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: 4.

Tytuł:: Analyse the Metrological Data Using Data Mining Technique
Autorzy:: Vanitha, P.
Mayilvaganan, M.
Tematy:: Data Mining
Data Mining Techniques
meteorological data
weather data; Pokaż więcej
Wydawca:: Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Powiązania:: https://bibliotekanauki.pl/articles/1193577.pdf Link otwiera się w nowym oknie
Opis:: Data Mining is the process of discovering new patterns from large data sets, this technology which is employed in inferring useful knowledge that can be put to use from a vast amount of data, various data mining techniques such as Classification, Prediction, Clustering and Outlier analysis can be used for the purpose. Weather is one of the meteorological data that is rich by important knowledge. Meteorological data mining is a form of data mining concerned with finding hidden patterns inside largely available meteorological data, so that the information retrieved can be transformed into usable knowledge. Sometimes Climate affects the human society in all the possible ways. Knowledge of weather data or climate data in a region is essential for business, society, agriculture and energy applications. The main aim of this paper is to overview on Data mining Process for weather data and to study on weather data using data mining technique like clustering technique. By using this technique we can acquire Weather data and can find the hidden patterns inside the large dataset so as to transfer the retrieved information into usable knowledge for classification and prediction of climate condition.
Dostawca treści:: Biblioteka Nauki

Artykuł

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Skocz do pozycji: 5.

Tytuł:: Comparative Study of Techniques Used in Prediction of Student Performance
Autorzy:: Chauhan, Minakshi
Gupta, Varsha
Tematy:: Classification
Clustering
Data Mining Techniques
Educational Data Mining
Fuzzy Logic; Pokaż więcej
Wydawca:: Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Powiązania:: https://bibliotekanauki.pl/articles/1159721.pdf Link otwiera się w nowym oknie
Opis:: Providing high quality education is a major concern for higher educational institutions. The quality of education in higher institutions can be assessed by the teaching and learning process. The quality of the teaching learning process depends on the performance of instructor as well as performance of students involved. Analysis and prediction of student performance is key step to identify the poor academic performance. On the basis of prediction, the corrective actions must be taken to improve performance of students and enhance the quality of education system. In this study we surveyed the techniques commonly used to predict the performance of students and also analysed the factors affecting the student academic performance.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: A Survey on Privacy Preserving Data Mining
Autorzy:: Bharanya, S.
Amudha, P.
Tematy:: Data mining
Frequent pattern mining
Perturbation
Privacy-preserving data mining; Pokaż więcej
Wydawca:: Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Powiązania:: https://bibliotekanauki.pl/articles/1193548.pdf Link otwiera się w nowym oknie
Opis:: Privacy-preserving data mining has been considered widely because of the wide propagation of sensitive information over internet. A number of algorithmic techniques have been designed for privacy-preserving data mining that includes the state-of-the-art method. Privacy preserving data mining has become progressively popular because it allows sharing of confidential sensitive data for analysis purposes. It is important to maintain a ratio between privacy protection and knowledge discovery. To solve such problems many algorithms are proposed by various authors across the world. The main objective of this paper is to study various Privacy preserving data mining techniques and algorithms used for mining the item sets.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 7.

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: 8.

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

Artykuł

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Skocz do pozycji: 9.

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: 10.

Tytuł:: Eksploracja Danych
Data mining
Autorzy:: Zajdel, Dawid
Opis:: Opis wybranych algorytmów eksploracji danych.
A description of chosen data mining algorithms.
Dostawca treści:: Repozytorium Uniwersytetu Jagiellońskiego

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