標(biāo)題: Titlebook: Data Mining, Rough Sets and Granular Computing; Tsau Young Lin,Yiyu Y. Yao,Lotfi A. Zadeh Book 2002 Springer-Verlag Berlin Heidelberg 2002 [打印本頁(yè)] 作者: Blandishment 時(shí)間: 2025-3-21 18:31
書(shū)目名稱(chēng)Data Mining, Rough Sets and Granular Computing影響因子(影響力)
書(shū)目名稱(chēng)Data Mining, Rough Sets and Granular Computing影響因子(影響力)學(xué)科排名
書(shū)目名稱(chēng)Data Mining, Rough Sets and Granular Computing網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱(chēng)Data Mining, Rough Sets and Granular Computing網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱(chēng)Data Mining, Rough Sets and Granular Computing被引頻次
書(shū)目名稱(chēng)Data Mining, Rough Sets and Granular Computing被引頻次學(xué)科排名
書(shū)目名稱(chēng)Data Mining, Rough Sets and Granular Computing年度引用
書(shū)目名稱(chēng)Data Mining, Rough Sets and Granular Computing年度引用學(xué)科排名
書(shū)目名稱(chēng)Data Mining, Rough Sets and Granular Computing讀者反饋
書(shū)目名稱(chēng)Data Mining, Rough Sets and Granular Computing讀者反饋學(xué)科排名
作者: 合唱隊(duì) 時(shí)間: 2025-3-21 22:20 作者: pulmonary-edema 時(shí)間: 2025-3-22 03:49 作者: MAIZE 時(shí)間: 2025-3-22 08:06 作者: N斯巴達(dá)人 時(shí)間: 2025-3-22 11:42 作者: 管理員 時(shí)間: 2025-3-22 12:55
A Query-Driven Interesting Rule Discovery Using Associations and Spanning Operationsth interesting and related to user goals. According to the degree of relevancy to a user goal, a database can be divided into the five views: from the view positively related to the user goal to the view unrelated. To each such view, our novel technique of data mining can be applied. The union and j作者: 管理員 時(shí)間: 2025-3-22 19:42
An Interactive Visualization System for Mining Association Rulesg association rules is visualized, which consists of six steps: preparing the raw data set, visualizing the original data set, cleaning the data, discretizing numerical attributes, and mining and visualizing the discovered association rules. The architecture of the AViz system is presented and each 作者: NEX 時(shí)間: 2025-3-23 01:11 作者: obstinate 時(shí)間: 2025-3-23 05:11 作者: 小故事 時(shí)間: 2025-3-23 07:49 作者: lipids 時(shí)間: 2025-3-23 12:00 作者: panorama 時(shí)間: 2025-3-23 14:18
Observability and the Case of Probabilitylating the universes of discourse: the world as it is perceived. The aim of this paper is to review and clarify various mathematical aspects related to observability problems within a classical boolean structure or a fuzzy context. In doing so, it is shown how ideas arising in Fuzzy Sets theory can 作者: Awning 時(shí)間: 2025-3-23 18:28
Granulation and Granularity via Conceptual Structures: A Perspective From the Point of View of Fuzzy structures called fuzzy concept lattices which is a natural formalization of the Port-Royal approach to concepts. Fuzzy concepts, i.e. the induced fuzzy granules, obey a complete hierarchy w.r.t. subconcept-superconcept relation. Attention is paid to similarity relations (similarity of objects, con作者: placebo 時(shí)間: 2025-3-24 00:22
Granular Computing with Closeness and Negligibility Relationsper proposes a symbolic approach for handling orders of magnitude in terms of a closeness relation and an associated negligibility relation. At the semantic level, these relations are represented by means of fuzzy sets and are parametered. A reduced set of rules, where the parameters are formally co作者: 不可磨滅 時(shí)間: 2025-3-24 03:51 作者: limber 時(shí)間: 2025-3-24 06:39 作者: 憲法沒(méi)有 時(shí)間: 2025-3-24 12:04
Data Mining, Rough Sets and Granular Computing978-3-7908-1791-1Series ISSN 1434-9922 Series E-ISSN 1860-0808 作者: Detonate 時(shí)間: 2025-3-24 18:23
Jeffrey Shuhaiber,Jonathan Silversteinof four linked methodologies: granular computing, computing with words, the computational theory of perceptions and precisiated natural language. What follows is a view of the links between the underlying structures of these methodologies — a view which is presented from a personal perspective.作者: 服從 時(shí)間: 2025-3-24 20:41 作者: 疲勞 時(shí)間: 2025-3-24 23:42 作者: organism 時(shí)間: 2025-3-25 04:01 作者: Debark 時(shí)間: 2025-3-25 08:06 作者: 小木槌 時(shí)間: 2025-3-25 15:25 作者: 厭煩 時(shí)間: 2025-3-25 18:04 作者: molest 時(shí)間: 2025-3-25 22:07 作者: 態(tài)學(xué) 時(shí)間: 2025-3-26 01:56 作者: ELUDE 時(shí)間: 2025-3-26 07:20 作者: inveigh 時(shí)間: 2025-3-26 12:07 作者: Lime石灰 時(shí)間: 2025-3-26 16:12
Afterword: Some Notes on Radical Teachingsses, which makes rule interpretation by domain experts difficult. In order to solve this problem, the characteristics of medical reasoning is discussed positive and negative rules are introduced which model medical experts’ rules. Then, for induction of positive and negative rules, two search algor作者: Overdose 時(shí)間: 2025-3-26 20:42 作者: 新星 時(shí)間: 2025-3-27 00:16 作者: 飾帶 時(shí)間: 2025-3-27 03:31
John Malcolm Dowling,Chin-Fang Yapper proposes a symbolic approach for handling orders of magnitude in terms of a closeness relation and an associated negligibility relation. At the semantic level, these relations are represented by means of fuzzy sets and are parametered. A reduced set of rules, where the parameters are formally co作者: 鎮(zhèn)痛劑 時(shí)間: 2025-3-27 05:53 作者: Vo2-Max 時(shí)間: 2025-3-27 13:27 作者: Allergic 時(shí)間: 2025-3-27 15:09 作者: OPINE 時(shí)間: 2025-3-27 18:22 作者: 缺乏 時(shí)間: 2025-3-28 00:26 作者: 信任 時(shí)間: 2025-3-28 03:57 作者: 大范圍流行 時(shí)間: 2025-3-28 10:05 作者: 露天歷史劇 時(shí)間: 2025-3-28 10:52 作者: 主講人 時(shí)間: 2025-3-28 14:57 作者: objection 時(shí)間: 2025-3-28 19:32
Afterword: Some Notes on Radical Teachingo observability problems within a classical boolean structure or a fuzzy context. In doing so, it is shown how ideas arising in Fuzzy Sets theory can become fine tools to handle most of the granulating problems. In the last section we study the observability of the label “probable” viewed as a fuzzy set.作者: CHASE 時(shí)間: 2025-3-29 02:35 作者: endoscopy 時(shí)間: 2025-3-29 05:54
A Query-Driven Interesting Rule Discovery Using Associations and Spanning Operationsttributes. The combination of two operations keeps both confidence and supportiveness measures together, and differenciation of query views enables us to produce the desired level of interestingness and relevancy.作者: Vasoconstrictor 時(shí)間: 2025-3-29 08:01 作者: Small-Intestine 時(shí)間: 2025-3-29 13:03 作者: FRONT 時(shí)間: 2025-3-29 16:37
An Interactive Visualization System for Mining Association Rulesd visualizing numerical association rules is proposed. Our experimental result on a census data set shows that the AViz system is useful and helpful for discovering and visualizing numerical association rules.作者: 脫離 時(shí)間: 2025-3-29 21:04 作者: 人類(lèi)學(xué)家 時(shí)間: 2025-3-30 03:30
Validation of Concept Representation with Rule Induction and Linguistic Variableswhich suggests that combination of rule induction and attribute-oriented generalization can be used to validate concept hiearchy. Interestingly, fuzzy linguistic variables play an important role in solving these problems.作者: CARK 時(shí)間: 2025-3-30 07:54
Granular Computing Using Information Tables granules. Objects in each granule share the same or similar description in terms of their attribute values. Studies along this line have been carried out in the theories of rough sets and databases. Within the proposed model, this paper reviews the pertinent existing results and presents their generalizations and applications.作者: 中止 時(shí)間: 2025-3-30 10:15
Finding Unexpected Patterns in Datarizing the . of patterns based on prior background knowledge in the form of beliefs. Based on this characterization of unexpectedness we present an algorithm, ZoomUR, for discovering unexpected patterns in data.作者: Gum-Disease 時(shí)間: 2025-3-30 12:44 作者: LUCY 時(shí)間: 2025-3-30 18:53
Bowel problems — too much or too littleand experiments show that the computation is fast and is a promising approach. Experiments show about 15–20 time faster; theoretical analysis indicates that on the counting the support step, which is the major step, it is at least 32 (wordsize) time faster.作者: 軟弱 時(shí)間: 2025-3-31 00:14
Afterword: Some Notes on Radical Teachingithms are provided. The proposed rule induction method was evaluated on medical databases, the experimental results of which show that induced rules correctly represented experts’ knowledge and several interesting patterns were discovered.作者: 憎惡 時(shí)間: 2025-3-31 01:29
John Malcolm Dowling,Chin-Fang Yapcepts and conceptual structures are distinguished) and to logical precision both of which represent a systematic way to control the granularity and reduce the complexity of the conceptual structure. Applications in conceptual data analysis and representation of conceptual knowledge are discussed.作者: CLIFF 時(shí)間: 2025-3-31 06:06
Book 2002- ticularly true in the realm of e-commerce, where data mining is moving from a "nice-to-have" to a "must-have" status. In a different though related context, a new computing methodology called granular computing is emerging as a powerful tool for the conception, analysis and design of information/i作者: 空中 時(shí)間: 2025-3-31 12:57
Data Mining Using Granular Computing: Fast Algorithms for Finding Association Rulesand experiments show that the computation is fast and is a promising approach. Experiments show about 15–20 time faster; theoretical analysis indicates that on the counting the support step, which is the major step, it is at least 32 (wordsize) time faster.
