標(biāo)題: Titlebook: Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing; 10th International C Dominik ?l?zak,JingTao Yao,Xiaohua Hu Conference proceedi [打印本頁(yè)] 作者: FORAY 時(shí)間: 2025-3-21 17:19
書目名稱Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing影響因子(影響力)
書目名稱Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing影響因子(影響力)學(xué)科排名
書目名稱Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing網(wǎng)絡(luò)公開度
書目名稱Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing被引頻次
書目名稱Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing被引頻次學(xué)科排名
書目名稱Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing年度引用
書目名稱Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing年度引用學(xué)科排名
書目名稱Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing讀者反饋
書目名稱Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing讀者反饋學(xué)科排名
作者: SPASM 時(shí)間: 2025-3-21 21:17 作者: entrance 時(shí)間: 2025-3-22 03:09 作者: 剛開始 時(shí)間: 2025-3-22 06:17 作者: 昏迷狀態(tài) 時(shí)間: 2025-3-22 09:53
Robin Andersson,Aida Vitória,Jan Ma?uszyński,Jan Komorowski作者: DEVIL 時(shí)間: 2025-3-22 14:06
Andrzej Skowron,Hui Wang,Arkadiusz Wojna,Jan Bazan作者: 單純 時(shí)間: 2025-3-22 18:39
Yan Li,Simon Chi-Keung Shiu,Sankar Kumar Pal,James Nga-Kwok Liu作者: miniature 時(shí)間: 2025-3-22 23:33
Gonzalo Ramos-Jiménez,José del Campo-ávila,Rafael Morales-Bueno作者: leniency 時(shí)間: 2025-3-23 05:16 作者: 楓樹 時(shí)間: 2025-3-23 06:14
Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing10th International C作者: Gentry 時(shí)間: 2025-3-23 11:52
Reducing the Storage Requirements of 1-v-1 Support Vector Machine Multi-classifiers (one versus one). The 1-v-r approach tends to have higher training time, while 1-v-1 approaches tend to create a large number of binary classifiers that need to be analyzed and stored during the operational phase. This paper describes how rough set theory may help in reducing the storage requirements of the 1-v-1 approach in the operational phase.作者: ALIBI 時(shí)間: 2025-3-23 15:22 作者: Alcove 時(shí)間: 2025-3-23 20:31
methods.. .Several chapters examine in detail the mathematical properties of the methodologies as well as their implementation in the Splus or R statistical languages.. .The exposition is driven by numerous ex978-1-4419-2024-9978-0-387-45024-7Series ISSN 1431-8598 Series E-ISSN 2197-1773 作者: chiropractor 時(shí)間: 2025-3-24 01:42
Ning Zhong methods.. .Several chapters examine in detail the mathematical properties of the methodologies as well as their implementation in the Splus or R statistical languages.. .The exposition is driven by numerous ex978-1-4419-2024-9978-0-387-45024-7Series ISSN 1431-8598 Series E-ISSN 2197-1773 作者: 靈敏 時(shí)間: 2025-3-24 06:00
Roman Podraza,Mariusz Walkiewicz,Andrzej Dominik methods.. .Several chapters examine in detail the mathematical properties of the methodologies as well as their implementation in the Splus or R statistical languages.. .The exposition is driven by numerous ex978-1-4419-2024-9978-0-387-45024-7Series ISSN 1431-8598 Series E-ISSN 2197-1773 作者: STIT 時(shí)間: 2025-3-24 07:40
Jan G. Bazan,Rafa? Latkowski,Marcin Szczuka methods.. .Several chapters examine in detail the mathematical properties of the methodologies as well as their implementation in the Splus or R statistical languages.. .The exposition is driven by numerous ex978-1-4419-2024-9978-0-387-45024-7Series ISSN 1431-8598 Series E-ISSN 2197-1773 作者: Ledger 時(shí)間: 2025-3-24 12:28
Yiyu Yao,Fei-Yue Wang,Jue Wangogues. Trends in the costs inferred by damage from natural disasters as related to changing social and economic situations are examined for different regions. ..The results obtained argue for sustainable develo978-94-007-3285-8978-90-481-9171-0Series ISSN 1878-9897 Series E-ISSN 2213-6959 作者: 熱情的我 時(shí)間: 2025-3-24 16:48
Feng Jiang,Yuefei Sui,Cungen Caoogues. Trends in the costs inferred by damage from natural disasters as related to changing social and economic situations are examined for different regions. ..The results obtained argue for sustainable develo978-94-007-3285-8978-90-481-9171-0Series ISSN 1878-9897 Series E-ISSN 2213-6959 作者: penance 時(shí)間: 2025-3-24 19:21 作者: 碌碌之人 時(shí)間: 2025-3-24 23:25 作者: Measured 時(shí)間: 2025-3-25 07:13
Salvatore Greco,Benedetto Matarazzo,Roman S?owińskiand, balances theory and data analysis to show the applicability andlimitations of certain methods.. .Several chapters examine in detail the mathematical properties of the methodologies as well as their implementation in the Splus or R statistical languages.. .The exposition is driven by numerous ex作者: negligence 時(shí)間: 2025-3-25 10:33
Hung Son Nguyenand, balances theory and data analysis to show the applicability andlimitations of certain methods.. .Several chapters examine in detail the mathematical properties of the methodologies as well as their implementation in the Splus or R statistical languages.. .The exposition is driven by numerous ex作者: Anthology 時(shí)間: 2025-3-25 15:03
Julia Johnson,Patrick Campeaust. Robust analogues of this parameter are suggested and calculated for some seismic catalogues. Trends in the costs inferred by damage from natural disasters as related to changing social and economic situations are examined for different regions. ..The results obtained argue for sustainable develo作者: 令人苦惱 時(shí)間: 2025-3-25 16:12 作者: 寬大 時(shí)間: 2025-3-25 21:49 作者: 為現(xiàn)場(chǎng) 時(shí)間: 2025-3-26 03:23
Hung Son Nguyeneavy tails are characteristic of phenomena where there is a significant probability of a single huge value impacting system behavior. Record-breaking insurance losses, financial returns, sizes of files stored on a server, transmission rates of files are all examples of heavy-tailed phenomena.. .Key 作者: meditation 時(shí)間: 2025-3-26 04:20
Ning Zhongng and statistical methods for fitting models. Most other bo.This comprehensive text gives an interesting and useful blend of the mathematical, probabilistic and statistical tools used in heavy-tail analysis. Heavy tails are characteristic of phenomena where there is a significant probability of a s作者: Stagger 時(shí)間: 2025-3-26 10:45 作者: 剛開始 時(shí)間: 2025-3-26 14:22 作者: 內(nèi)向者 時(shí)間: 2025-3-26 17:29
Yiyu Yao,Fei-Yue Wang,Jue Wangealization of sustainable development is presented.Distribut.Mathematically, natural disasters of all types are characterized by heavy tailed distributions. The analysis of such distributions with common methods, such as averages and dispersions, can therefore lead to erroneous conclusions. The stat作者: BURSA 時(shí)間: 2025-3-27 00:21 作者: 神圣在玷污 時(shí)間: 2025-3-27 03:30
Julia Johnson,Patrick Campeaus, such as averages and dispersions, can therefore lead to erroneous conclusions. The statistical methods described in this book avoid such pitfalls. Seismic disasters are studied, primarily thanks to the availability of an ample statistical database. New approaches are presented to seismic risk est作者: Cursory 時(shí)間: 2025-3-27 07:46 作者: Friction 時(shí)間: 2025-3-27 10:06
Jiye Li,Nick Cerconeealization of sustainable development is presented.Distribut.Mathematically, natural disasters of all types are characterized by heavy tailed distributions. The analysis of such distributions with common methods, such as averages and dispersions, can therefore lead to erroneous conclusions. The stat作者: 描繪 時(shí)間: 2025-3-27 14:50
A Rough Set Based Model to Rank the Importance of Association Rulesfrom rule interestingness in that it does not consider the predefined knowledge on what kind of information is considered to be interesting. The experimental results show our method reduces the number of rules generated and at the same time provides a measure of how important is a rule.作者: 悄悄移動(dòng) 時(shí)間: 2025-3-27 19:21 作者: ostrish 時(shí)間: 2025-3-28 00:02
Constructing Rough Decision Forestszation doesn’t guarantee output diversity maximization. Hence it cannot guarantee a good classification performance in practice. Genetic algorithm based selective rough decision forests consistently get good classification accuracies compared with a single tree trained by raw data as well as the other two forest constructing methods.作者: POINT 時(shí)間: 2025-3-28 03:10 作者: Range-Of-Motion 時(shí)間: 2025-3-28 07:23
Conference proceedings 2005mputing, RSFDGrC 2005, organized at the University of Regina, August 31st–September 3rd, 2005. This conference followed in the footsteps of inter- tional events devoted to the subject of rough sets, held so far in Canada, China, Japan,Poland,Sweden, and the USA. RSFDGrC achievedthe status of biennia作者: senile-dementia 時(shí)間: 2025-3-28 13:17
0302-9743 ranular Computing, RSFDGrC 2005, organized at the University of Regina, August 31st–September 3rd, 2005. This conference followed in the footsteps of inter- tional events devoted to the subject of rough sets, held so far in Canada, China, Japan,Poland,Sweden, and the USA. RSFDGrC achievedthe status 作者: 取之不竭 時(shí)間: 2025-3-28 16:42
Generalizing Rough Set Theory Through Dominance-Based Rough Set Approachalso relevant in case where preferences are not considered but a kind of monotonicity relating attribute values is meaningful for the analysis of data at hand. In general terms, monotonicity concerns relationship between different aspects of a phenomenon described by data: for example, “the larger t作者: Expiration 時(shí)間: 2025-3-28 22:24 作者: NOT 時(shí)間: 2025-3-29 00:58
Towards Human-Level Web Intelligenceew direction for scientific research and development that explores the fundamental roles as well as practical impacts of Artificial Intelligence (AI) and advanced Information Technology (IT) on the next generation of Web-empowered systems, services, and environments. The WI technologies revolutioniz作者: GENUS 時(shí)間: 2025-3-29 05:01 作者: nonradioactive 時(shí)間: 2025-3-29 10:10 作者: Blasphemy 時(shí)間: 2025-3-29 15:11
,: A Rough Knowledge Base System ability to define rough sets in terms of other rough sets and incorporation of domain or expert knowledge. We describe two main components of .: knowledge base creation and query answering. The former allows the user to create a knowledge base of rough concepts and checks that the definitions do no作者: Astigmatism 時(shí)間: 2025-3-29 17:37
A Classification Model: Syntax and Semantics for Classificationework of a General Data Mining Model (definition [4]) which is a model for Data Mining viewed as a generalization process and sets standards for defining syntax and semantics and its relationship for any Data Mining method. In particular, we define the notion of truthfulness, or a degree of truthful作者: Ventilator 時(shí)間: 2025-3-29 20:13 作者: stratum-corneum 時(shí)間: 2025-3-30 03:01
Outlier Detection Using Rough Set Theoryal properties. The ability to locate outliers can help to maintain knowledge base integrity and to single out irregular individuals. First, we formally define the notions of exceptional set and minimal exceptional set. We then analyze some special cases of exceptional set and minimal exceptional set作者: Dna262 時(shí)間: 2025-3-30 06:20
Reverse Predictions required for many problems that do not lend themselves to being solved by the traditional rough sets forward prediction. The RS1 algorithm has been rewritten using better notation and style and generalized to provide reverse prediction. Rough Set Reverse Prediction Algorithm was implemented and ev作者: Ophthalmologist 時(shí)間: 2025-3-30 11:09
Prediction Mining – An Approach to Mining Association Rules for Predictione to predict the consequent of the rule. But not all of association rules may be suitable for prediction. In this paper, we investigate the properties of rules for prediction, and develop an approach called . — mining a set of association rules that are useful for prediction. Prediction mining disco作者: 赤字 時(shí)間: 2025-3-30 14:54
A Rough Set Based Model to Rank the Importance of Association Rulesre more useful, interesting and important. We introduce a rough set based process by which a rule importance measure is calculated for association rules to select the most appropriate rules. We use ROSETTA software to generate multiple reducts. Apriori association rule algorithm is then applied to g作者: 哀求 時(shí)間: 2025-3-30 19:52 作者: paltry 時(shí)間: 2025-3-30 22:51
Rough Learning Vector Quantization Case Generation for CBR Classifiersantization (LVQ). If the feature values of the cases are numerical, fuzzy sets are firstly used to discretize the feature spaces. Secondly, a fast rough set-based feature selection method is built to identify the significant features. The representative cases (prototypes) are then generated through 作者: LAVE 時(shí)間: 2025-3-31 04:33
ML-CIDIM: Multiple Layers of Multiple Classifier Systems Based on CIDIM this paper we present a method to improve even more the accuracy: ML-CIDIM. This method has been developed by using a multiple classifier system which basic classifier is CIDIM, an algorithm that induces small and accurate decision trees. CIDIM makes a random division of the training set into two s作者: Creatinine-Test 時(shí)間: 2025-3-31 05:08 作者: 改進(jìn) 時(shí)間: 2025-3-31 09:11 作者: Tonometry 時(shí)間: 2025-3-31 13:35
Reducing the Storage Requirements of 1-v-1 Support Vector Machine Multi-classifiers (one versus one). The 1-v-r approach tends to have higher training time, while 1-v-1 approaches tend to create a large number of binary classifiers that need to be analyzed and stored during the operational phase. This paper describes how rough set theory may help in reducing the storage requiremen作者: Mundane 時(shí)間: 2025-3-31 19:05 作者: Increment 時(shí)間: 2025-4-1 00:11
Towards Human-Level Web Intelligenceand advanced Information Technology (IT) on the next generation of Web-empowered systems, services, and environments. The WI technologies revolutionize the way in which information is gathered, stored, processed, presented, shared, and used by virtualization, globalization, standardization, personalization, and portals.
