標題: Titlebook: Rough Sets and Knowledge Technology; 4th International Co Peng Wen,Yuefeng Li,Guoyin Wang Conference proceedings 2009 Springer-Verlag Berli [打印本頁] 作者: interminable 時間: 2025-3-21 16:24
書目名稱Rough Sets and Knowledge Technology影響因子(影響力)
書目名稱Rough Sets and Knowledge Technology影響因子(影響力)學科排名
書目名稱Rough Sets and Knowledge Technology網(wǎng)絡(luò)公開度
書目名稱Rough Sets and Knowledge Technology網(wǎng)絡(luò)公開度學科排名
書目名稱Rough Sets and Knowledge Technology被引頻次
書目名稱Rough Sets and Knowledge Technology被引頻次學科排名
書目名稱Rough Sets and Knowledge Technology年度引用
書目名稱Rough Sets and Knowledge Technology年度引用學科排名
書目名稱Rough Sets and Knowledge Technology讀者反饋
書目名稱Rough Sets and Knowledge Technology讀者反饋學科排名
作者: 翻動 時間: 2025-3-21 20:16 作者: 男生戴手銬 時間: 2025-3-22 04:11 作者: 羽毛長成 時間: 2025-3-22 06:22
A Time-Reduction Strategy to Feature Selection in Rough Set Theoryorithm is designed. Experiments show that this modified algorithm outperforms its original counterpart. It is worth noting that the performance of the modified algorithm becomes more visible when dealing with larger data sets.作者: 兩種語言 時間: 2025-3-22 12:34 作者: Ambiguous 時間: 2025-3-22 14:37 作者: EXCEL 時間: 2025-3-22 20:52
Conference proceedings 2009ining and knowledge discovery, granular computing and cognitive computing, fuzzy sets and computing, knowledge technology and intelligent systems, computational intelligence and applications, image processing and understanding, and formal concept analysis.作者: 粗魯?shù)娜?nbsp; 時間: 2025-3-23 00:34
0302-9743 on, data mining and knowledge discovery, granular computing and cognitive computing, fuzzy sets and computing, knowledge technology and intelligent systems, computational intelligence and applications, image processing and understanding, and formal concept analysis.978-3-642-02961-5978-3-642-02962-2Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 做方舟 時間: 2025-3-23 02:58
Interactive Granular Computing in Rightly Judging Systemsmong the fundamental concepts of Wisdom Technology (Wistech). Wistech is encompassing such areas as interactive computations, multiagent systems, cognitive computation, natural computing, complex adaptive and autonomous systems, or knowledge representation and reasoning about knowledge.作者: 性上癮 時間: 2025-3-23 08:15
Rough 3-Valued ?ukasiewicz Agebras and MV-Algebrasebra. The constructed algebra is called the rough 3-valued ?ukasiewicz algebra. It is shown that a rough 3-valued ?ukasiewicz algebra is an MV-algbra in this paper. The direct relation between rough set theory and MV-algebras is constructed. The definition of rough MV-algebras is also given.作者: 乏味 時間: 2025-3-23 10:31 作者: itinerary 時間: 2025-3-23 14:02 作者: 運動性 時間: 2025-3-23 18:19 作者: LOPE 時間: 2025-3-24 00:54 作者: 騷擾 時間: 2025-3-24 02:41
Rough Diamonds in Natural Language Learningng and rough sets. This keynote presentation will trace the course of our Natural Language Learning as well as some quite intriguing spin-off applications. The focus of the paper will be learning, by both human and computer, reinterpreting our work of the last 30 years [1-12,20-24] in terms of recen作者: 意見一致 時間: 2025-3-24 09:36 作者: Allodynia 時間: 2025-3-24 12:04 作者: 陳列 時間: 2025-3-24 17:28 作者: neutralize 時間: 2025-3-24 22:28 作者: 征服 時間: 2025-3-25 01:07
Integrating Rough Sets with Neural Networks for Weighting Road Safety Performance Indicators factors are the initial value of network weights and the iteration time. More specially, rough sets theory is applied for rule induction and feature selection in decision situations, and the concepts of reduct and core are utilized to generate decision rules from the data to guide the self-training作者: Ccu106 時間: 2025-3-25 06:27
Evolutionary Rough K-Means Clusteringh the rough K-means algorithm has shown that it provides a reasonable set of lower and upper bounds for a given dataset. Evaluation of clustering obtained from rough K-means using various cluster validity measures has also been promising. However, rough K-means algorithm has not been explicitly show作者: monopoly 時間: 2025-3-25 11:34 作者: motor-unit 時間: 2025-3-25 13:25
Development of the Data Preprocessing Agent’s Knowledge for Data Mining Using Rough Set Theorycially involving large dataset. It is crucial for a data miner to be able to determine the appropriate data preprocessing techniques for a particular data set as it will save the processing time and retain the quality of the data for data mining. Current data mining researchers use agent as a tool t作者: CALL 時間: 2025-3-25 15:57
Improving Rules Quality Generated by Rough Set Theory for the Diagnosis of Students with LDs throughue. In this study, we apply rough set theory (RST), which may produce meaningful explanations or rules, to the LD identification application. We also propose to mix samples collected from sources with different LD diagnosis procedure and criteria. By pre-processing these mixed samples with some simp作者: Fecundity 時間: 2025-3-25 23:09
Topological Residuated Lattice: A Unifying Algebra Representation of Some Rough Set Modelszy rough set and intuitionistic fuzzy rough set), a new notion of the topological residuated lattice is introduced, and its basic properties are given. Moreover, the relationship between topological residuated lattice and triangle algebra are investigated.作者: 使成整體 時間: 2025-3-26 03:08
A Time-Reduction Strategy to Feature Selection in Rough Set Theoryhave been proposed, however, quite often, these methods are computationally time-consuming. To overcome this shortcoming, we introduce a time-reduction strategy, which can be used to accelerate a heuristic process of feature selection. Based on the proposed strategy, a modified feature selection alg作者: 文件夾 時間: 2025-3-26 07:09
Reducts Evaluation Methods Using Lazy Algorithmsand inhibitory decision rules. Calculated values are used later to estimate the quality of the reducts. The two proposed algorithms have polynomial time complexity. The results obtained by both approaches were compared with performance of the two classifiers .-NN and Naive Bayesian Classifier..All a作者: Pamphlet 時間: 2025-3-26 09:29
Knowledge Reduction in Formal Contexts Based on Covering Rough Setsn this paper, by investigating relationship between covering rough set and concept lattice, we study attribute reduction of formal context. Judgement theorems of consistent attribute sets and reduct attribute sets are given.作者: Anthropoid 時間: 2025-3-26 13:09 作者: BOAST 時間: 2025-3-26 19:38 作者: 壓艙物 時間: 2025-3-27 00:20 作者: 滑稽 時間: 2025-3-27 02:06
Improving Rules Quality Generated by Rough Set Theory for the Diagnosis of Students with LDs througherforms better in term of prediction certainty than other rule-based algorithms such as decision tree and ripper algorithms. Overall, we believe that RST may have the potential in playing an essential role in the field of LD diagnosis.作者: 輕打 時間: 2025-3-27 05:56 作者: 感染 時間: 2025-3-27 12:10
d to cool unimpeded at the rate predicted from known atomic physics, in the context of a well-established cosmological model, the gaseous matter would form stars and galaxies with a high e?ciency, so that far more than the observed fraction of about 10–15% of the baryonic matter would be found in lu作者: Accommodation 時間: 2025-3-27 15:53
Andrzej Jankowski,Andrzej Skowron,Marcin Szczukad to cool unimpeded at the rate predicted from known atomic physics, in the context of a well-established cosmological model, the gaseous matter would form stars and galaxies with a high e?ciency, so that far more than the observed fraction of about 10–15% of the baryonic matter would be found in lu作者: Arresting 時間: 2025-3-27 20:43
David M. W. Powers,Richard Leibbrandtd to cool unimpeded at the rate predicted from known atomic physics, in the context of a well-established cosmological model, the gaseous matter would form stars and galaxies with a high e?ciency, so that far more than the observed fraction of about 10–15% of the baryonic matter would be found in lu作者: 意見一致 時間: 2025-3-28 00:43 作者: 蟄伏 時間: 2025-3-28 03:26 作者: propose 時間: 2025-3-28 09:58
Rafael Falcón,Gwanggil Jeon,Kangjun Lee,Rafael Bello,J. Jeongthe gaseous baryons did not cool, collapse, and form stars and galaxies. However, if this gas is allowed to cool unimpeded at the rate predicted from known atomic physics, in the context of a well-established cosmological model, the gaseous matter would form stars and galaxies with a high e?ciency, 作者: 娘娘腔 時間: 2025-3-28 12:44 作者: dictator 時間: 2025-3-28 16:44
Taichi Haruna,Yukio-Pegio Gunjid to cool unimpeded at the rate predicted from known atomic physics, in the context of a well-established cosmological model, the gaseous matter would form stars and galaxies with a high e?ciency, so that far more than the observed fraction of about 10–15% of the baryonic matter would be found in lu作者: shrill 時間: 2025-3-28 19:52 作者: 象形文字 時間: 2025-3-28 23:14 作者: obscurity 時間: 2025-3-29 04:46
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/r/image/831919.jpg作者: 凹槽 時間: 2025-3-29 09:54
https://doi.org/10.1007/978-3-642-02962-2cognitive computing; computational intelligence; data mining; data reduction; formal concept analysis; fu作者: 發(fā)源 時間: 2025-3-29 14:48
978-3-642-02961-5Springer-Verlag Berlin Heidelberg 2009作者: FUME 時間: 2025-3-29 16:53
Rough Sets and Knowledge Technology978-3-642-02962-2Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Neuropeptides 時間: 2025-3-29 22:17
Rough Diamonds in Natural Language Learningng and rough sets. This keynote presentation will trace the course of our Natural Language Learning as well as some quite intriguing spin-off applications. The focus of the paper will be learning, by both human and computer, reinterpreting our work of the last 30 years [1-12,20-24] in terms of recent developments in Rough Sets.作者: Halfhearted 時間: 2025-3-29 23:53 作者: myocardium 時間: 2025-3-30 05:06
Topological Residuated Lattice: A Unifying Algebra Representation of Some Rough Set Modelszy rough set and intuitionistic fuzzy rough set), a new notion of the topological residuated lattice is introduced, and its basic properties are given. Moreover, the relationship between topological residuated lattice and triangle algebra are investigated.作者: Enervate 時間: 2025-3-30 09:44 作者: Chameleon 時間: 2025-3-30 15:26 作者: Delirium 時間: 2025-3-30 16:54
Development of the Data Preprocessing Agent’s Knowledge for Data Mining Using Rough Set Theorydecide the appropriate data preprocessing technique to be used on a particular dataset. Therefore, in this paper we propose a methodology for creating the data preprocessing agent’s knowledge by using rough set theory. The experimental results showed that the agent’s knowledge generated is significa作者: CAMP 時間: 2025-3-30 22:50 作者: 鋪子 時間: 2025-3-31 02:11 作者: 去世 時間: 2025-3-31 05:23 作者: 放大 時間: 2025-3-31 11:27 作者: intercede 時間: 2025-3-31 13:42
Jianhua Dai,Xiaochun Liund the term ‘cooling ?ow’ was introduced by Andy Fabian and colleagues at Cambridge as a p- sible explanation of the physical processes obtained in the central regions of clusters. The name refers to the fact that gas cooling in the inner regions is associated with a loss of central pressure, causin作者: 鑒賞家 時間: 2025-3-31 18:04 作者: PTCA635 時間: 2025-3-31 22:15
Zulaiha Ali Othman,Azuraliza Abu Bakar,Zalinda Othman,Suzanna Rosli作者: 作繭自縛 時間: 2025-4-1 02:38 作者: synovium 時間: 2025-4-1 06:49
Hongxing Chen,Yuhua Qian,Jiye Liang,Wei Wei,Feng Wang作者: 拉開這車床 時間: 2025-4-1 12:33
Faizah Shaari,Azuraliza Abu Bakar,Abd Razak Hamdan作者: capsaicin 時間: 2025-4-1 16:31
Guoyin Wangy Fabian and colleagues at Cambridge as a p- sible explanation of the physical processes obtained in the central regions of clusters. The name refers to the fact that gas cooling in the inner regions is associated with a loss of central pressure, causin978-3-642-09257-2978-3-540-73484-0Series ISSN 1431-2433 Series E-ISSN 1611-6143 作者: commodity 時間: 2025-4-1 22:11
Rafael Falcón,Gwanggil Jeon,Kangjun Lee,Rafael Bello,J. Jeongy Fabian and colleagues at Cambridge as a p- sible explanation of the physical processes obtained in the central regions of clusters. The name refers to the fact that gas cooling in the inner regions is associated with a loss of central pressure, causin978-3-642-09257-2978-3-540-73484-0Series ISSN 1431-2433 Series E-ISSN 1611-6143
