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Tytuł:
Minimal Decision Rules Based on the Apriori Algorithm
Autorzy:
Fernandez, M. C.
Menasalvas, E.
Marban, O.
Pena, J. M.
Millan, S.
Powiązania:
https://bibliotekanauki.pl/articles/908364.pdf
Data publikacji:
2001
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
baza danych
algorytmy
rough sets
rough dependencies
association rules
a priori algorithm
minimal decision rules
Opis:
Based on rough set theory many algorithms for rules extraction from data have been proposed. Decision rules can be obtained directly from a database. Some condition values may be unnecessary in a decision rule produced directly from the database. Such values can then be eliminated to create a more comprehensible (minimal) rule. Most of the algorithms that have been proposed to calculate minimal rules are based on rough set theory or machine learning. In our approach, in a post-processing stage, we apply the Apriori algorithm to reduce the decision rules obtained through rough sets. The set of dependencies thus obtained will help us discover irrelevant attribute values.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2001, 11, 3; 691-704
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Age and perception of non-financial work aspects by Poles
Autorzy:
Grześkowiak, Alicja
Powiązania:
https://bibliotekanauki.pl/articles/425258.pdf
Data publikacji:
2014
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
work values
categorical data
association rules
Opis:
The article presents the problem of the co-occurrences of opinions on important non-financial work aspects among people from different age groups reflecting various stages of professional development: career start, phase of attainments, stage of preserving attainments and a rest phase. The study is based on non-metric survey data, which determines the use of adequate research methods. Association analysis is applied in order to identify patterns of responses. The revealed association rules indicate that there are differences in the perception of non-financial work values among respondents from different age intervals.
Źródło:
Econometrics. Ekonometria. Advances in Applied Data Analytics; 2014, 3(45); 9-18
1507-3866
Pojawia się w:
Econometrics. Ekonometria. Advances in Applied Data Analytics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Wykorzystanie wielowymiarowych reguł asocjacyjnych do poszukiwania uwarunkowań satysfakcji klientów z usług jednostek samorządu terytorialnego
The use of multidimensional association rules in search of determinants of customer satisfaction with services of local government units
Autorzy:
Błoński, Krzysztof
Powiązania:
https://bibliotekanauki.pl/articles/420094.pdf
Data publikacji:
2015
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
customer satisfaction
association rules
local government
Opis:
The article aims at presenting the results of the application of multidimensional association rules to explore the potential determinants of satisfaction with services. The bases for the search are the results of a study on the importance of social engagement and attachment to the place of residence to the satisfaction of the services provided by LGUs. The article has a research nature and has been prepared on the basis of the results of the survey. The research procedure also benefited from the literature in sociology and data mining available in the form of books and articles. The results of the carried out analysis indicate that between social engagement and satisfaction with services provided by LGUs and attachment to the place of residence and satisfaction with the services there are links and they can be pointed to as determinants of customer satisfaction. One should not assume that the two mentioned relationships relate to the entire studied population, but to the selected groups.
Źródło:
Nauki o Zarządzaniu; 2015, 4 (25); 28-37
2080-6000
Pojawia się w:
Nauki o Zarządzaniu
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Mining indirect association rules for web recommendation
Autorzy:
Kazienko, P.
Powiązania:
https://bibliotekanauki.pl/articles/907860.pdf
Data publikacji:
2009
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
reguły asocjacji
system zalecany
badanie sieci
association rules
indirect association rules
recommender system
web mining
web usage mining
Opis:
Classical association rules, here called 'direct', reflect relationships existing between items that relatively often co-occur in common transactions. In the web domain, items correspond to pages and transactions to user sessions. The main idea of the new approach presented is to discover indirect associations existing between pages that rarely occur together but there are other, 'third' pages, called transitive, with which they appear relatively frequently. Two types of indirect associations rules are described in the paper: partial indirect associations and complete ones. The former respect single transitive pages, while the latter cover all existing transitive pages. The presented IDARM* Algorithm extracts complete indirect association rules with their important measure-confidence-using pre-calculated direct rules. Both direct and indirect rules are joined into one set of complex association rules, which may be used for the recommendation of web pages. Performed experiments revealed the usefulness of indirect rules for the extension of a typical recommendation list. They also deliver new knowledge not available to direct ones. The relation between ranking lists created on the basis of direct association rules as well as hyperlinks existing on web pages is also examined.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2009, 19, 1; 165-186
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Association rules in medical data classification
Autorzy:
Kasperczuk, Anna
Jasińska, Aleksandra
Zdrodowska, Małgorzata
Dardzińska-Głębocka, Agnieszka
Powiązania:
https://bibliotekanauki.pl/chapters/2204723.pdf
Data publikacji:
2022
Wydawca:
Politechnika Białostocka. Oficyna Wydawnicza Politechniki Białostockiej
Tematy:
association rules
classification
classification based on association (CBA)
Opis:
This chapter is focused on the application of association rules to classify medical data. There is no data mining technique that can produce consistent results for all types of medical data. The effectiveness of a data mining technique depends, among other things, on the type of data collected for study. The purpose of the following work is to see if combining two data mining methods will give better results than using them individually. For this purpose, data on breast cancer in women was used. The results showed that using a hybrid combination of association rules to produce a classifier can improve classification performance.
Źródło:
Advances in biomedical engineering; 123–142
9788367185400
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Research on operation fault diagnosis algorithm of power grid equipment based on power big data
Autorzy:
Qian, Jianguo
Zhu, Bingquan
Li, Ying
Shi, Zhengchai
Powiązania:
https://bibliotekanauki.pl/articles/949910.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
association rules
big data
data mining
fault diagnosis
grid equipment
Opis:
Power big data contains a lot of information related to equipment fault. The analysis and processing of power big data can realize fault diagnosis. This study mainly analyzed the application of association rules in power big data processing. Firstly, the association rules and the Apriori algorithm were introduced. Then, aiming at the shortage of the Apriori algorithm, an IM-Apriori algorithm was designed, and a simulation experiment was carried out. The results showed that the IM-Apriori algorithm had a significant advantage over the Apriori algorithm in the running time. When the number of transactions was 100 000, the running of the IM-Apriori algorithm was 38.42% faster than that of the Apriori algorithm. The IM-Apriori algorithm was little affected by the value of supportmin. Compared with the Extreme Learning Machine (ELM), the IM-Apriori algorithm had better accuracy. The experimental results show the effectiveness of the IM-Apriori algorithm in fault diagnosis, and it can be further promoted and applied in power grid equipment.
Źródło:
Archives of Electrical Engineering; 2020, 69, 4; 793-800
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
ZASTOSOWANIE TECHNIK EKSPLORACJI TEKSTU DO ANALIZY OPINII KONSUMENCKICH
APPLICATION OF TEXT MINING TECHNIQUES FOR THE CUSTOMER REVIEWS ANALYSIS
Autorzy:
Ząbkowski, Tomasz
Powiązania:
https://bibliotekanauki.pl/articles/452951.pdf
Data publikacji:
2014
Wydawca:
Szkoła Główna Gospodarstwa Wiejskiego w Warszawie. Katedra Ekonometrii i Statystyki
Tematy:
eksploracja tekstu
reguły asocjacyjne
opinie konsumenckie
text mining
association rules
customer reviews
Opis:
W niniejszej publikacji zaproponowano jedną z metod eksploracji danych – reguły asocjacyjne do wykrycia zależności w opiniach konsumenckich, na przykładzie opinii jednego z hoteli amerykańskich. Wykorzystanie tej techniki wynikało m.in. z dużej ilości dostępnych danych oraz faktu, że otrzymane reguły w sposób niezwykle czytelny prezentują zależności znalezione w danych. W badaniu odkryto szereg reguł, które mogą stanowić cenne źródło informacji o jakości usług oraz postrzeganiu obiektu przez klientów korzystających z usług hotelowych.
This paper presents application of one of data mining techniques – association rules to analyze customer reviews, based on the data gathered at one of the American hotels. The application of association rules is due to the large volume of available review data and the fact that the rules can be presented in a very clear and meaningful way. The study resulted in a number of interesting rules that can be a valuable source of information about the quality of services and the perception of the hotel by the clients.
Źródło:
Metody Ilościowe w Badaniach Ekonomicznych; 2014, 15, 4; 101-110
2082-792X
Pojawia się w:
Metody Ilościowe w Badaniach Ekonomicznych
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Evaluation of the on-line commercial service quality based on association rules
Autorzy:
Szyda, Monika
Czarnowski, Ireneusz
Powiązania:
https://bibliotekanauki.pl/articles/432412.pdf
Data publikacji:
2017
Wydawca:
Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Tematy:
e-commerce
e-quality evaluation
e-customer satisfaction
association rules
data mining
Opis:
The existing approaches to the evaluation of on-line commercial services quality include various quality indicators. The application of multiple attributes for quality evaluation enables and involves specialized analysis techniques to carry it out. This article proposes to utilize association rules in the quality evaluation of the on-line services. The analysis carried out of the discovered association rules has provided interesting dependencies and relationships on the individual characteristics of the on-line commercial service. On the basis of such on analysis, conclusions can be made regarding the general quality of the on-line commercial services. The discovered dependencies and connections can be used in shaping online commercial service quality. Conclusions from the analysis of the association rules can therefore be used to improve the on-line commercial service quality comprehensively which can lead to the higher satisfaction of e-customers
Źródło:
Informatyka Ekonomiczna; 2017, 1(43); 66-85
1507-3858
Pojawia się w:
Informatyka Ekonomiczna
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Customer’s Purchase Prediction Using Customer Segmentation Approach for Clustering of Categorical Data
Autorzy:
Singh, Juhi
Mittal, Mandeep
Powiązania:
https://bibliotekanauki.pl/articles/1841413.pdf
Data publikacji:
2020
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
categorical data
clustering algorithm
frequent pattern mining
association rules
customer relationship management
Opis:
Traditional clustering algorithms which use distance between a pair of data points to calculate their similarity are not suitable for clustering of boolean and categorical attributes. In this paper, a modified clustering algorithm for categorical attributes is used for segmentation of customers. Each segment is then mined using frequent pattern mining algorithm in order to infer rules that helps in predicting customer’s next purchase. Generally, purchases of items are related to each other, for example, grocery items are frequently purchased together while electronic items are purchased together. Therefore, if the knowledge of purchase dependencies is available, then those items can be grouped together and attractive offers can be made for the customers which, in turn, increase overall profit of the organization. This work focuses on grouping of such items. Various experiments on real time database are implemented to evaluate the performance of proposed approach.
Źródło:
Management and Production Engineering Review; 2021, 12, 2; 57-64
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Combination of Association Rules and Optimization Model to Solve Scheduling Problems in an Unstable Production Environment
Autorzy:
Del Gallo, Mateo
Ciarapica, Filippo Emanuele
Mazzuto, Giovanni
Bevilacqua, Maurizio
Powiązania:
https://bibliotekanauki.pl/articles/27324213.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
data mining
association rules
optimization model
production scheduling
job-shop scheduling
flow shop scheduling
Opis:
Production problems have a significant impact on the on-time delivery of orders, resulting in deviations from planned scenarios. Therefore, it is crucial to predict interruptions during scheduling and to find optimal production sequencing solutions. This paper introduces a selflearning framework that integrates association rules and optimisation techniques to develop a scheduling algorithm capable of learning from past production experiences and anticipating future problems. Association rules identify factors that hinder the production process, while optimisation techniques use mathematical models to optimise the sequence of tasks and minimise execution time. In addition, association rules establish correlations between production parameters and success rates, allowing corrective factors for production quantity to be calculated based on confidence values and success rates. The proposed solution demonstrates robustness and flexibility, providing efficient solutions for Flow-Shop and Job-Shop scheduling problems with reduced calculation times. The article includes two Flow-Shop and Job-Shop examples where the framework is applied.
Źródło:
Management and Production Engineering Review; 2023, 14, 4; 56--70
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analiza opóźnień samolotów pasażerskich z wykorzystaniem reguł asocjacyjnych
Analysis of flights’ delays using association rules
Autorzy:
Dramski, M.
Mąka, M.
Powiązania:
https://bibliotekanauki.pl/articles/314393.pdf
Data publikacji:
2018
Wydawca:
Instytut Naukowo-Wydawniczy "SPATIUM"
Tematy:
zasady asocjacji
opóźnienia lotów
transport lotniczy
eksploracja danych
association rules
data mining
flights delays
air transport
Opis:
Wydajność transportu pasażerskiego w tym lotnictwa cywilnego, jest kluczowa dla światowej gospodarki. Jednym z głównych czynników oceny linii lotniczych przez pasażerów jest punktualność. Należy tu uwzględnić również fakt, że sieć połączeń między lotniskami na całym świecie jest niezwykle skomplikowana. Powyższe fakty prowadzą do wniosku, że można stworzyć narzędzie, które pomoże pasażerom planować ich podróż w sposób optymalny. W niniejszym artykule do analizy ponad 7 milionów lotów na terenie Stanów Zjednoczonych, zastosowano reguły asocjacyjne. Dane pozyskano z Departamentu Transportu USA i obejmują one loty, które odbyły się w 2008 roku.
The efficiency of air passenger transport in world's economy is crucial. For this kind of flights, one of the most important features is punctuality. The network of connections between the airports, very often is significantly complicated. It leads to the conclusion that there is a need to do some research in this field which will help the passengers to plan their optimal journeys. In this paper one of the data mining techniques (association rules) was applied to the analysis of flights' delays. The data consists of over 7 millions records was taken from the US Department of Transportation (year 2008) [2]. Then the research was carried out and conclusions were described.
Źródło:
Autobusy : technika, eksploatacja, systemy transportowe; 2018, 19, 12; 755-757
1509-5878
2450-7725
Pojawia się w:
Autobusy : technika, eksploatacja, systemy transportowe
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analysis of monotonicity properties of some rule interestingness measures
Autorzy:
Greco, S.
Słowiński, R.
Szczęch, I.
Powiązania:
https://bibliotekanauki.pl/articles/1839193.pdf
Data publikacji:
2009
Wydawca:
Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:
association rules
Piatetsky-Shapiro's rule interest function
gain measure
dependency factor
anti-support
Pareto-optimal border
Opis:
One of the crucial problems in the field of knowledge discovery is development of good interestingness measures for evaluation of the discovered patterns. In this paper, we consider quantitative, objective interestingness measures for "if..., then... " association rules. We focus on three popular interestingness measures, namely rule interest function of Piatetsky-Shapiro, gain measure of Fukuda et al., and dependency factor used by Pawlak. We verify whether they satisfy the valuable property M of monotonic dependency on the number of objects satisfying or not the premise or the conclusion of a rule, and property of hypothesis symmetry (HS). Moreover, analytically and through experiments we show an interesting relationship between those measures and two other commonly used measures of rule support and anti-support.
Źródło:
Control and Cybernetics; 2009, 38, 1; 9-25
0324-8569
Pojawia się w:
Control and Cybernetics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Association Rules as a Decision Making Model in the Textile Industry
Analiza koszykowa jako model decyzji w przemyśle tekstylnym
Autorzy:
Istrat, V.
Lalić, N.
Powiązania:
https://bibliotekanauki.pl/articles/231532.pdf
Data publikacji:
2017
Wydawca:
Sieć Badawcza Łukasiewicz - Instytut Biopolimerów i Włókien Chemicznych
Tematy:
business intelligence
association rules
decision making
textile industry
inteligencja biznesowa
analiza transakcji
podejmowanie decyzji
przemysł tekstylny
Opis:
Sales process disfunctions in the textile industry are problems that cause loss of customers, incomplete market supply, etc. The objective of the research is to analyse transactions from the textile industry database in order to find patterns in buyers’ behavior and improve the model of decision-making. Association rules, one of the most noticeable data mining techniques, is used as methodology to learn rules and market patterns that occur in sales in the textile industry, which will enhance the decision-making process, by making it more effective and efficient. The Apriori algorithm was applied and open source software Orange was used. It has been shown using a real-life dataset containing 2000 transactions from the textile industry of the South East Europe region that the approach proposed is useful in discovering effective knowledge in data associated with sales. The study reports new interesting rules and the dependence of the following parameters: support, confidence, lift and leverage on making more customized offers in the textile industry.
Nieprawidłowości w procesie sprzedaży w przemyśle tekstylnym powodują m.in. utratę klientów. Celem badania była analiza transakcji z bazy danych przemysłu tekstylnego w celu znalezienia wzorców na zachowaniach nabywców i udoskonalenia modelu decyzji. Analiza koszykowa, jako jedna z najlepiej dostrzegalnych technik kopiowania danych, jest stosowana w metodologii uczenia się reguł i wzorców rynkowych, które występują w sprzedaży w przemyśle tekstylnym zwiększając efektywność procesu podejmowania decyzji. W pracy użyto algorytmu Apriori i oprogramowania Orange. W pracy wykazano, że przy użyciu zestawu danych rzeczywistych zawierającego 2000 transakcji z przemysłu tekstylnego w regionie Europy Południowo-Wschodniej, proponowane podejście jest przydatne w odkrywaniu skutecznej wiedzy w zakresie danych związanych ze sprzedażą.
Źródło:
Fibres & Textiles in Eastern Europe; 2017, 4 (124); 8-14
1230-3666
2300-7354
Pojawia się w:
Fibres & Textiles in Eastern Europe
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Research on transformer condition evaluation method based on association rule set pair analysis theory
Autorzy:
Shanyuan, Wang
Donglin, Cai
Zhonghong, Chen
Menglong, Bai
Hongyu, Ouyang
Xiaoyang, Lai
Weichao, Hu
Changke, Chen
Yangchen, Shi
Powiązania:
https://bibliotekanauki.pl/articles/27313832.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
Tematy:
transformer
set pair analysis
association rules
fault type
fault symptoms
transformator
reguły asocjacyjne
typy usterek
symptomy uszkodzeń
Opis:
Combining the advantages of set pair analysis and association rules, This paper proposes a transformer condition evaluation based on association rule with set pair analysis theory. In this paper, by analyzing the correlation between the various fault symptoms of transformer, a set of fault types is obtained. At the same time, this paper introduces variable weight formula based on the support degree and confidence degree of association rules, and finally the weight coefficients of fault types and fault symptoms are obtained. By comparing and calculating the support and confidence of association rules, while introducing variable weight formulas, the weight coefficients of fault types and fault symptoms are obtained. it effectively avoid the subjectivity of expert opinions or experiences. Based on the scalability of set pair analysis, a 5-element connection degree is adopted to improve the accuracy of handling uncertain factors in transformer fault diagnosis.
Źródło:
Diagnostyka; 2023, 24, 4; art. no. 2023410
1641-6414
2449-5220
Pojawia się w:
Diagnostyka
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of data mining techniques to find relationships between the dishes offered by a restaurant for the elaboration of combos based on the preferences of the diners
Autorzy:
Vazquez, Rosa Maria
Bonilla, Edmundo
Sanchez, Eduardo
Atriano, Oscar
Berruecos, Cinthya
Powiązania:
https://bibliotekanauki.pl/articles/118001.pdf
Data publikacji:
2019
Wydawca:
Polskie Towarzystwo Promocji Wiedzy
Tematy:
data mining
association rules
apriori algorithm
combos
Web Service
eksploracja danych
reguły asocjacji
algorytm a priori
kombinacje
Opis:
Currently, blended food has been a common menu item in fast food restaurants. The sales of the fast-food industry grow thanks to several sales strategies, including the “combos”, so, specialty, regional, family and buffet restaurants are even joining combos’ promotions. This research paper presents the implementation of a system that will serve as support to elaborate combos according to the preferences of the diners using data mining techniques to find relationships between the different dishes that are offered in a restaurant. The software resulting from this research is being used by the mobile application Food Express, with which it communicates through webservices. References
Źródło:
Applied Computer Science; 2019, 15, 2; 73-88
1895-3735
Pojawia się w:
Applied Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
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