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Granular association rule mining through parametric rough sets for cold start recommendation [article]

Fan Min, William Zhu
2013 arXiv   pre-print
With the lower approximation operator in the new parametric rough sets, a backward algorithm is designed for the rule mining problem.  ...  In this paper, we propose a new type of parametric rough sets on two universes to study this problem. The model is deliberately defined such that the parameter corresponds to one threshold of rules.  ...  Here 45%, 6%, 40%, and 30% are the source coverage, the target coverage, the source confidence, and the target confidence, respectively.  ... 
arXiv:1210.0065v2 fatcat:7doe4solwfe6heybsnu4kuk6ke

A Computational Intelligence Technique for Effective and Early Diabetes Detection using Rough Set Theory

Kamadi V.S.R.P.Varma, Allam Apparao, P. V. Nageswara Rao
2014 International Journal of Computer Applications  
In recent years rough set theory is used to identify the data associations, reduction of data, data classification and for obtaining association rules form the mined databases.  ...  Huge amount of medical databases requires sophisticated techniques for storing, accessing, analysis and efficient use of stored acquaintance, knowledge and information.  ...  product of gain factor and coverage factor  ... 
doi:10.5120/16638-6602 fatcat:p74kh25zzjgwpjrrtgnck6b4pi

Parametric Rough Sets with Application to Granular Association Rule Mining

Xu He, Fan Min, William Zhu
2013 Mathematical Problems in Engineering  
In this paper, we build a new type of parametric rough sets on two universes and propose an efficient rule mining algorithm based on the new model.  ...  Specifically, the model is deliberately defined such that the parameter corresponds to one threshold of rules. The algorithm benefits from the lower approximation operator in the new model.  ...  are the source coverage, the target coverage, the source confidence, and the target confidence, respectively.  ... 
doi:10.1155/2013/461363 fatcat:4ga4cvkw7zcehd4laarfvrc4b4

Preference Mining Using Neighborhood Rough Set Model on Two Universes

Kai Zeng
2016 Computational Intelligence and Neuroscience  
In this paper, we propose a new model, called parametric neighborhood rough set on two universes (NRSTU), to describe the user and item data structures.  ...  Furthermore, the neighborhood lower approximation operator is used for defining the preference rules. Then, we provide the means for recommending items to users by using these rules.  ...  Then they use the definition of approximation operator in rough set theory for generating association rules between users and items.  ... 
doi:10.1155/2016/6975458 pmid:28044074 pmcid:PMC5164912 fatcat:rixlwciuereivd3ck6putld2eu

Rough Set Approach toward Data Modelling and User Knowledge for Extracting Insights

Xiaoqun Liao, Shah Nazir, Junxin Shen, Bingliang Shen, Sulaiman Khan, M. Irfan Uddin
2021 Complexity  
Results of the proposed study show that the model is effective and efficient with an accuracy of 96% for KNN, 87% for decision rules, 91% for decision trees, 85.04% for cross validation architecture, and  ...  The experimental setup of the proposed method is validated by using the dataset available in the UCI web repository.  ...  upper approximations. e obtainable model or rough set consists of "IF THEN rules." e rough set was presented by Pawlak in 1982 [31] .  ... 
doi:10.1155/2021/7815418 fatcat:ihgqo5q4dbesdihegxyyeind2u

Bayes' Theorem — the Rough Set Perspective [chapter]

Zdzislaw Pawlak
2003 Studies in Fuzziness and Soft Computing  
Rough set theory offers new insight into Bayes' theorem.  ...  It is also worth mentioning the relationship between Bayes' theorem and flow graphs.  ...  Information Systems and Approximation of Sets In this section we define basic concepts of rough set theory: information system and approximation of sets.  ... 
doi:10.1007/978-3-540-36473-3_1 fatcat:yabawgygxjcvbm7pdd774hlxbm

A method for constructing a confidence bound for the actual error rate of a prediction rule in high dimensions

Kevin K. Dobbin
2008 Biostatistics  
Constructing a confidence interval for the actual, conditional error rate of a prediction rule from multivariate data is problematic because this error rate is not a population parameter in the traditional  ...  Coverage probabilities of the new method are shown to be nominal or conservative over a wide range of scenarios. The new method is relatively simple to implement and not computationally burdensome.  ...  In actual practical implementation with estimatedĜ, the value of Upperbound is computationally burdensome to estimate precisely, but in real-world settings, a rough 2-digit approximation is usually adequate  ... 
doi:10.1093/biostatistics/kxn035 pmid:19039030 pmcid:PMC2733174 fatcat:lzuy74avefdqtja6zec3hdzazq

Rough Set Theory for Real Estate Appraisals: An Application to Directional District of Naples

Vincenzo Del Giudice, Pierfrancesco De Paola, Giovanni Cantisani
2017 Buildings  
are a combination of current fact and future expectations, relying on only one value indicates an unsupported confidence in both the appraisal process and the appraiser. [ . . . ] Valuation models should  ...  This paper proposes an application of Rough Set Theory (RST) to the real estate field, in order to highlight its operational potentialities for mass appraisal purposes.  ...  Author Contributions: This paper is to be attributed in equal parts to the authors. Conflicts of Interest: The authors declare no conflicts of interest.  ... 
doi:10.3390/buildings7010012 fatcat:k5qbnujemzfobfd4o55zksekaq

Rough Set-Based Approach for Automatic Emotion Classification of Music

2017 Journal of Information Processing Systems  
In addition, RS-based approach makes it possible to visualize which attributes play a significant role in the generated rules, and also determine the strength of each rule for classification.  ...  Music emotion is an important component in the field of music information retrieval and computational musicology.  ...  Acknowledgement This work was partially supported from National Research Foundation of Korea (NRF-2015R1D1 A1A01058062).  ... 
doi:10.3745/jips.04.0032 fatcat:ddmftwj4qfhatkkb742mdeim7i

Functional Data Analysis in Ecosystem Research: The Decline of Oweekeno Lake Sockeye Salmon and Wannock River Flow

L. M. Ainsworth, R. Routledge, J. Cao
2011 Journal of Agricultural Biological and Environmental Statistics  
Particular attention is given to (i) the role of subject matter expertise and cross-validation techniques in guiding decisions on basis functions and smoothing parameters, and (ii) the importance of restricting  ...  In addition, we derive a joint confidence region for the functional regression coefficient function and discuss its use relative to the more commonly used pointwise confidence intervals.  ...  ACKNOWLEDGEMENTS We would like to thank the TULA Foundation, NSERC and the NPCDS for financial assistance and the IRMACS Centre for providing facilities for this research.  ... 
doi:10.1007/s13253-010-0049-z fatcat:ol25hkzxu5b2ndglk3copfglpu

Data mining in soft computing framework: a survey

S. Mitra, S.K. Pal, P. Mitra
2002 IEEE Transactions on Neural Networks  
Rough sets are suitable for handling different types of uncertainty in data. Some challenges to data mining and the application of soft computing methodologies are indicated.  ...  Generally fuzzy sets are suitable for handling the issues related to understandability of patterns, incomplete/noisy data, mixed media information and human interaction, and can provide approximate solutions  ...  While the accuracy of a rule measures its degree of confidence, its coverage is interpreted as the comprehensive inclusion of all the records that satisfy the rule. Hence Accuracy = E.  ... 
doi:10.1109/72.977258 pmid:18244404 fatcat:wz6gxwj3mvgexl6slz3dl4q54i

A Combined Approach to Classifying Land Surface Cover of Urban Domestic Gardens Using Citizen Science Data and High Resolution Image Analysis

Fraser Baker, Claire Smith, Gina Cavan
2018 Remote Sensing  
Validation of the CSS land surface estimations revealed a mean accuracy of 76.63% (s = 15.24%), demonstrating that citizens are able to provide valid estimates of garden surface coverage proportions.  ...  High resolution image analysis was conducted to validate the CSS estimates, and to classify 7 land surface cover categories for all garden parcels in the city.  ...  Acknowledgments: This work was carried out as part of the Assessing the contribution of domestic gardens to urban ecosystem services project (2016-2018), funded by Natural Environment Research Council  ... 
doi:10.3390/rs10040537 fatcat:a73jxz22i5gczhkcdwtskmy22i

A Novel Boundary Oversampling Algorithm Based on Neighborhood Rough Set Model: NRSBoundary-SMOTE

Feng Hu, Hang Li
2013 Mathematical Problems in Engineering  
On the basis of what we know about the distribution of original dataset, we only oversample the minority class samples, which are overlapped with the majority class samples, in the boundary region.  ...  Rough set theory is a powerful mathematical tool introduced by Pawlak to deal with imprecise, uncertain, and vague information.  ...  NRSBoundary-SMOTE uses the neighborhood rough set model, which emphasizes oversampling the minority class samples in boundary region, and thereby expands the coverage space of minority class samples in  ... 
doi:10.1155/2013/694809 fatcat:65brbfxezjeszilftndxad7v54

Detecting Patterns in Energy Use and Greenhouse Gas Emissions of Cities Using Machine Learning

Kathleen B. Aviso, Marc Joseph Capili, Hon Huin Chin, Yee Van Fan, Jirí Jaromír Klemeš, Raymond R. Tan
2021 Chemical Engineering Transactions  
In this work, rough set-based ML (RSML) is used to identify such patterns in the Sustainable Cities Index (SCI), which ranks 100 of the world's major urban centres based on three broad criteria that cover  ...  RSML is used to generate interpretable rule-based (if/then) models that predict energy utilisation and GHG emissions performance of cities based on the other criteria in the database.  ...  CZ.02.1.01/0.0/0.0/15_003/0000456, by Czech Republic Operational Programme Research and Development, Education, Priority 1: Strengthening capacity for quality research under the collaboration agreement  ... 
doi:10.3303/cet2188067 doaj:ffabfbf8f0bc43bb85f16eb1d471f469 fatcat:ln7hyn2wpjfg3dqarewbhjuqka

Studies on ICT Usage in the Academic CampusUsing Educational Data Mining

Ajay Auddy, Sripati Mukhopadhyay
2014 International Journal of Modern Education and Computer Science  
Inthe era of competition, change and complexity, innovation in teaching and learning practices in higher education sector has become unavoidable criteria.One of the biggest challenges that higher education  ...  It is an extended version of Dominance Rough Set Approach (DRSA) and is applied here to generate a set of recommendations that can help the university to improvise the existing services and augmenting  ...  ACKNOWLEDGEMENT We acknowledge the help received fromvarious academic departments of The University of Burdwan for their immense cooperation in conducting this survey among the students and research scholars  ... 
doi:10.5815/ijmecs.2014.06.02 fatcat:djopau6xtnaidp24vwnwarexx4
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