標(biāo)題: Titlebook: Intelligent Exploration of the Web; Piotr S. Szczepaniak,Javier Segovia,Lotfi A. Zadeh Book 2003 Springer-Verlag Berlin Heidelberg 2003 We [打印本頁(yè)] 作者: 銀河 時(shí)間: 2025-3-21 18:12
書目名稱Intelligent Exploration of the Web影響因子(影響力)
書目名稱Intelligent Exploration of the Web影響因子(影響力)學(xué)科排名
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書目名稱Intelligent Exploration of the Web網(wǎng)絡(luò)公開度學(xué)科排名
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書目名稱Intelligent Exploration of the Web讀者反饋
書目名稱Intelligent Exploration of the Web讀者反饋學(xué)科排名
作者: 過時(shí) 時(shí)間: 2025-3-21 23:18 作者: 吞噬 時(shí)間: 2025-3-22 00:52
Intelligent Exploration of the Web978-3-7908-1772-0Series ISSN 1434-9922 Series E-ISSN 1860-0808 作者: debris 時(shí)間: 2025-3-22 08:36
Piotr S. Szczepaniak,Javier Segovia,Lotfi A. ZadehPresentation of computationally intelligent methods for dealing with problems related to Web.Includes supplementary material: 作者: 令人心醉 時(shí)間: 2025-3-22 10:09 作者: Cerebrovascular 時(shí)間: 2025-3-22 15:13 作者: accessory 時(shí)間: 2025-3-22 20:25
Internet as a Challenge to Fuzzy Querying how elements of fuzzy logic, notably fuzzy terms, linguistic quantifiers and modifiers, can be employed to attain human consistent and useful solutions. Specifically, we present an approach to fuzzy querying implemented as our FQUERY for Access system, and then extended to make fuzzy querying possible via a WWW browser.作者: hemoglobin 時(shí)間: 2025-3-22 22:20
Content-Based Fuzzy Search in a Multimedia Web Databaseompare terms established in the query with those found in the database. A description is given of the formulas used to calculate the similarity degree between these terms to allow for classification of the media in the response set, as well as the algorithms used to search through the database to retrieve the media.作者: Predigest 時(shí)間: 2025-3-23 05:23 作者: 極力證明 時(shí)間: 2025-3-23 07:53
Accurately and Reliably Extracting Data from the Web: A Machine Learning Approachly accurate extraction rules, to verify the wrapper to ensure that the correct data continues to be extracted, and to automatically adapt to changes in the sites from which the data is being extracted.作者: trigger 時(shí)間: 2025-3-23 13:08 作者: nutrients 時(shí)間: 2025-3-23 17:51
Book 2003 have a high MIQ (Machine IQ). What can be done to enhance it? This is the leitmotif of "Intelligent Exploration of the Web," (lEW)--a collection of articles co-edited by Drs. Szczepaniak, Segovia, Kacprzyk and, to a small degree, myself. The articles that comprise lEW address many basic problems ra作者: 無思維能力 時(shí)間: 2025-3-23 19:58 作者: 憤怒事實(shí) 時(shí)間: 2025-3-24 01:18
Intelligent Information Retrieval on the Webools, which differ in user expectations. Two features, however, seem to be of great importance for each tool: the capability to cluster the retrieved documents and the capability to draw user’s attention to next interesting documents (intelligent navigation). A number of clustering and intelligent navigation techniques are overviewed.作者: prosperity 時(shí)間: 2025-3-24 05:09
Intelligent Clustering as Source of Knowledge for Web Dialogue Manager in a Information Retrieval Sycontext. Domain Knowledge is used to build clusters of documents which are presented to the users as graph structure and as choice menus. The interaction context is used to allow the system to interpret a new query in the context of the previous interactions. We present a detailed example of an interaction with the proposed system.作者: 無動(dòng)于衷 時(shí)間: 2025-3-24 07:25
Intelligent Internet-Based Multiagent Systemshan single agent systems could be. LawBot is one of a growing community of Intelligent Internet Based Multiagent systems. LawBot consists of a collection of agents that use intelligent search methods to retrieve, filter, and organize collections of legal documents to assist legal research by professionals and laypersons.作者: 不理會(huì) 時(shí)間: 2025-3-24 14:12 作者: 瘋狂 時(shí)間: 2025-3-24 16:47 作者: 抗體 時(shí)間: 2025-3-24 19:26 作者: grovel 時(shí)間: 2025-3-25 00:06 作者: 絕食 時(shí)間: 2025-3-25 04:44 作者: 脆弱么 時(shí)間: 2025-3-25 07:55
Neural Agent for Text Database Discovery we also propose the hierarchical organization of neural agents which reduces the total training cost at the acceptable level. Finally, we evaluate the performance of our approach by comparing it to those of the conventional well-known approaches.作者: 時(shí)間等 時(shí)間: 2025-3-25 14:05 作者: 常到 時(shí)間: 2025-3-25 16:36
A Fuzzy System for the Web Page Representation the textual part of web pages, which are represented by a two-dimension vector. The vector components are sorted by the relevance of each word in the text. Two approaches, analytical and fuzzy, that take advantage of characteristics of the HTML language are presented to compute the word relevance. 作者: paltry 時(shí)間: 2025-3-25 21:30
Flexible Representation and Retrieval of WEB Documentsexpressing soft selection conditions. The documents’ content is organized into thematic (topical) sections where the index terms play a distinct role. The proposed document representation is adaptive to the user, who can indicate the preferred sections of documents, i.e. those which they estimate to作者: cataract 時(shí)間: 2025-3-26 01:24
Intelligent Information Retrieval on the Webval needs. The tools fall generally into three different categories: general purpose search engines, specialized search engines, and personal search tools, which differ in user expectations. Two features, however, seem to be of great importance for each tool: the capability to cluster the retrieved 作者: 心神不寧 時(shí)間: 2025-3-26 06:16 作者: 窒息 時(shí)間: 2025-3-26 11:19 作者: 是剝皮 時(shí)間: 2025-3-26 16:41 作者: 者變 時(shí)間: 2025-3-26 19:11
Methods for Exploratory Cluster Analysisal display, for visualizing structures in the data. Different locations on the display correspond to different domains of the data space in an orderly fashion. The models used in the mapping are fitted to the data so that they approximate the data distribution nonlinearly but smoothly. In this paper作者: 排出 時(shí)間: 2025-3-26 21:25
Textual Information Retrieval with User Profiles Using Fuzzy Clustering and Inferencingollection of terms extracted from the set of documents for a specific user or a group of users. We use a fuzzy representation for user profiles where each term in a profile is associated with a fuzzy membership value. The construction of user profiles is performed by a combination of fuzzy clusterin作者: 指派 時(shí)間: 2025-3-27 03:42 作者: 教義 時(shí)間: 2025-3-27 05:34
Documents Clustering Using Tolerance Rough Set Model and Its Application to Information Retrieval problem because of the unstructured form and textual characteristics of documents. As a consequence, the quality of document clustering depends not only on clustering algorithms but also on document representation models. In this work we introduce a tolerance rough set model (TRSM) for representing作者: 團(tuán)結(jié) 時(shí)間: 2025-3-27 10:48 作者: 細(xì)胞 時(shí)間: 2025-3-27 13:46
Intelligent Internet-Based Multiagent Systemsn gathering. Internet Based Multiagent Systems in computing are becoming more complex, resilient, flexible, adaptive and ultimately more intelligent than single agent systems could be. LawBot is one of a growing community of Intelligent Internet Based Multiagent systems. LawBot consists of a collect作者: insightful 時(shí)間: 2025-3-27 18:55
Neural Agent for Text Database Discoverythe user query. Identifying the relevant text databases out of many candidates for a given query is called the .. In this paper, we propose a novel approach, a neural approach, to the .. First, we present a neural agent that learns about underlying text databases from the user’s relevance feedback. 作者: 揉雜 時(shí)間: 2025-3-27 22:55
Intelligent Web Agents that Learn to Retrieve and Extract Information constructs a Web agent by accepting user preferences in form of instructions and adapting the agent’s behavior as it encounters new information. Our approach enables . to rapidly build instructable and self-adaptive Web agents for . (.) and . (.) tasks. . uses two neural networks, which provide ada作者: 松軟無力 時(shí)間: 2025-3-28 05:35
Accurately and Reliably Extracting Data from the Web: A Machine Learning Approachr extracting data from web sites and transforming it into a structured data format, such as XML. The resulting data can then be used to build new applications without having to deal with unstructured data. The advantages of our wrapping technology over previous work are the the ability to learn high作者: 可卡 時(shí)間: 2025-3-28 09:03 作者: 效果 時(shí)間: 2025-3-28 13:27 作者: 猛然一拉 時(shí)間: 2025-3-28 16:23 作者: 駁船 時(shí)間: 2025-3-28 19:37
P. S. Szczepaniak,A. Niewiadomskilage.Enth?lt viele Exkurse über Geschichte, Verarbeitung, alDieses allgemein verst?ndliche Buch gibt Antworten auf folgende Fragen: Wo sind Erze für Metalle, wo ist Erd?l zu finden? Der Verbrauch an mineralischen Rohstoffen ist in den letzten Jahrzehnten immer schneller gestiegen, doch die Ressource作者: 下級(jí) 時(shí)間: 2025-3-29 02:54
Marina Teresa Pires Vieira,Mauro Biajiz,Sérgio Ricardo Borges Júnior,Eduardo Cotrin Teixeira,Fernandrfahrungen des t?glichen Lebens hinausgelangen will und den Versuch macht, Genaueres über den Sitz unserer Sinne zu erfahren, kommt man schon nicht mehr ohne die strenge Wissenschaft aus. Bleiben wir beim Auge. Es ist mannigfachen Krankheiten unterworfen. Die Hornhaut kann trüb werden oder die Linse作者: Rinne-Test 時(shí)間: 2025-3-29 06:54 作者: 衣服 時(shí)間: 2025-3-29 08:13 作者: 天真 時(shí)間: 2025-3-29 14:27 作者: mortuary 時(shí)間: 2025-3-29 18:33 作者: OFF 時(shí)間: 2025-3-29 21:54
Book 2003n information which resides in various parts of the knowledge base. An example of a query might be "How many Ph.D. degrees in computer science were granted by European universities in 1996?" No existing search engine is capable of dealing with queries of comparable or even much lower complexity. Bas作者: 攀登 時(shí)間: 2025-3-30 01:13
Mieczys?aw K?opotekypen vorgestellt, sondern auch die grundlegenden Prozesse erkl?rt werden, die zu einerAnreicherung der jeweiligen Metalle geführt haben. Dabei geht es nicht nur um magmatische, hydrothermale oder sediment?re Prozesse und um Verwitterung, sondern auch um den plattentektonischen Rahmen und um die Ver?作者: alcohol-abuse 時(shí)間: 2025-3-30 07:07 作者: mitten 時(shí)間: 2025-3-30 11:58
Andreas Nürnberger,Aljoscha Klose,Rudolf Krusenen wir, da? die Netzhaut der wichtigste Teil des Auges ist, w?hrend Hornhaut, Linse und Glask?rper nur dazu dienen, das Sehenzu verbessern. Betrachten wir eine solche Netzhaut im Mikroskop (Abb. 1), so erblicken wir eine Unmenge ganz dicht nebeneinander stehender, winziger Zellen, und die n?here se作者: impale 時(shí)間: 2025-3-30 14:00
Fernando Aguiarle Datenbanken, sondern auch beliebige Objektsammlungen handhaben. Nach einer Beschreibung der wichtigsten Objekte und ihre Anwendung in einfachen Beispielen wird in einer Interaktion die Auswertung von Access-Tabellen in Excel gezeigt. Eine weitere Interaktion zeigt, wie sich Beziehungen von Daten 作者: legacy 時(shí)間: 2025-3-30 17:18
Brent Blackstock. Damit der Inhalt des Word-Dokuments pr?sentiert werden kann, lassen sich Einladungen in Outlook über eine Verteilerliste per Mail versenden und der Termin wird im Kalender eingetragen. Abschlie?end werden Folien für die PowerPoint-Pr?sentation erstellt. Eine andere Interaktion zeigt, wie sich aus 作者: NAV 時(shí)間: 2025-3-30 22:33
Craig A. Knoblock,Kristina Lerman,Steven Minton,Ion Musleatzt die Arbeit der Schrift im thematischen Spannungsfeld einer Kritik des Ichs und einer prek?ren Gegenbildlichkeit fort, die unter einem Begriff von Natur zu stehen scheint. Erstmals wird hier die Desubjektivierung, und das macht einen wichtigen Unterschied gegenüber der ?Narrenburg? aus, als ein .作者: Freeze 時(shí)間: 2025-3-31 02:55 作者: ABIDE 時(shí)間: 2025-3-31 08:08 作者: 絕緣 時(shí)間: 2025-3-31 12:05
P. S. Szczepaniak,A. Niewiadomskidern auch die grundlegenden Prozesse erkl?rt werden, die zu einer Anreicherung der jeweiligen Metalle geführt haben. Dabei geht es nicht nur um magmatische, hydrothermale oder sediment?re Prozesse und um Verwit978-3-662-48242-1作者: HEPA-filter 時(shí)間: 2025-3-31 14:13 作者: 禁令 時(shí)間: 2025-3-31 20:04 作者: freight 時(shí)間: 2025-3-31 23:13 作者: 肌肉 時(shí)間: 2025-4-1 03:19
Methods for Exploratory Cluster Analysise targets of the analysis are formulated. We have used the methods for analyzing a collection of patent abstract texts. We found, for instance, a cluster of neural networks patents not distinguished by the official patent classification system.作者: 廣告 時(shí)間: 2025-4-1 09:48
Textual Information Retrieval with User Profiles Using Fuzzy Clustering and Inferencing correlation among query terms. The user profiles and the fuzzy rules are subsequently used to expand user queries for better retrieval performance. Additional nontopical information about the user can be added to personalize the retrieval process. Moreover, fuzzy clustering can be applied to profil作者: 費(fèi)解 時(shí)間: 2025-4-1 11:43
