標(biāo)題: Titlebook: Knowledge Discovery Enhanced with Semantic and Social Information; Bettina Berendt,Dunja Mladeni?,Filip ?elezny Book 2009 Springer-Verlag [打印本頁] 作者: 法官所用 時間: 2025-3-21 18:48
書目名稱Knowledge Discovery Enhanced with Semantic and Social Information影響因子(影響力)
書目名稱Knowledge Discovery Enhanced with Semantic and Social Information影響因子(影響力)學(xué)科排名
書目名稱Knowledge Discovery Enhanced with Semantic and Social Information網(wǎng)絡(luò)公開度
書目名稱Knowledge Discovery Enhanced with Semantic and Social Information網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Knowledge Discovery Enhanced with Semantic and Social Information被引頻次
書目名稱Knowledge Discovery Enhanced with Semantic and Social Information被引頻次學(xué)科排名
書目名稱Knowledge Discovery Enhanced with Semantic and Social Information年度引用
書目名稱Knowledge Discovery Enhanced with Semantic and Social Information年度引用學(xué)科排名
書目名稱Knowledge Discovery Enhanced with Semantic and Social Information讀者反饋
書目名稱Knowledge Discovery Enhanced with Semantic and Social Information讀者反饋學(xué)科排名
作者: cathartic 時間: 2025-3-21 22:50 作者: 帶來的感覺 時間: 2025-3-22 02:40
A Study of the SEMINTEC Approach to Frequent Pattern MiningIn this paper, first, we prove that the approach introduced in our previous work for the DLP fragment of description logic family of languages, is also valid for more expressive languages. Next, we present the experimental results under different settings of the approach, and on knowledge bases of different sizes and complexities.作者: 偏離 時間: 2025-3-22 06:14
The , Project: Web Information Extraction Using Extraction Ontologiestically constructing these from third-party domain ontologies, (2) absorbing the results of inductive learning for subtasks where pre-labelled data abound, and (3) actively exploiting formatting regularities in the wrapper style.作者: 考得 時間: 2025-3-22 10:54
Item Weighting Techniques for Collaborative Filteringcomputation the items with the smallest weights.We assume that the items with smallest weights are the least useful for generating the prediction. We have evaluated the proposed methods using two datasets (MovieLens and Yahoo!) and identified the conditions for their best application in CF.作者: 勤勞 時間: 2025-3-22 15:20 作者: deface 時間: 2025-3-22 18:46
1860-949X owledge discovery enhanced with semantic and social information. It includes eight contributed chapters that grew out of two joint workshops at ECML/PKDD 2007..There is general agreement that the effectiveness of Machine Learning and Knowledge Discovery output strongly depends not only on the qualit作者: 原來 時間: 2025-3-22 23:10
A Knowledge-Intensive Approach for Semi-automatic Causal Subgroup Discovery In a semi-automatic approach, the network and the discovered relations are presented to the user as an intuitive visualization. The applicability and benefit of the presented technique is illustrated by examples from a case-study in the medical domain.作者: Receive 時間: 2025-3-23 03:00 作者: 可卡 時間: 2025-3-23 07:34 作者: Ardent 時間: 2025-3-23 13:21
c problems, and profit maximization. The early pioneers of the process - Zener, Duffin, Peterson, Beightler, Wilde, and Phillips -- played important roles in the development of geometric programming. There are three major areas: 1) Introduction, History, and Theoretical Fundamentals, 2) Applications作者: 里程碑 時間: 2025-3-23 14:31 作者: IRATE 時間: 2025-3-23 20:05 作者: 喃喃而言 時間: 2025-3-24 00:17 作者: 跟隨 時間: 2025-3-24 04:57 作者: HARP 時間: 2025-3-24 07:45
Martin Labsky,Vojtěch Svátek,Marek Nekvasil,Du?an Rak, and profit maximization. The early pioneers of the process - Zener, Duffin, Peterson, Beightler, Wilde, and Phillips -- played important roles in the development of geometric programming. There are three major areas: 1) Introduction, History, and Theoretical Fundamentals, 2) Applications with Zero作者: 最有利 時間: 2025-3-24 14:29 作者: 公司 時間: 2025-3-24 15:00
c problems, and profit maximization. The early pioneers of the process - Zener, Duffin, Peterson, Beightler, Wilde, and Phillips -- played important roles in the development of geometric programming. There are three major areas: 1) Introduction, History, and Theoretical Fundamentals, 2) Applications作者: 勛章 時間: 2025-3-24 20:02 作者: 胎兒 時間: 2025-3-25 00:29 作者: Axillary 時間: 2025-3-25 05:22 作者: 借喻 時間: 2025-3-25 08:43
On Ontologies as Prior Conceptual Knowledge in Inductive Logic Programminga critical look at three ILP proposals based on knowledge representation frameworks that integrate Description Logics and Horn Clausal Logic. From the comparative analysis of the three, we draw general conclusions that can be considered as guidelines for an upcoming Onto-Relational Learning aimed at作者: Incommensurate 時間: 2025-3-25 14:25 作者: 健忘癥 時間: 2025-3-25 17:06
A Study of the SEMINTEC Approach to Frequent Pattern Miningin description logic with rules (so-called .-safe ones). Frequent patterns in this approach are the conjunctive queries to a combined knowledge base. In this paper, first, we prove that the approach introduced in our previous work for the DLP fragment of description logic family of languages, is als作者: Foolproof 時間: 2025-3-25 22:06 作者: SOBER 時間: 2025-3-26 03:39
The , Project: Web Information Extraction Using Extraction Ontologiesed from initial domain modelling to running a functional prototype, without the necessity of collecting and labelling large amounts of training examples. Bottlenecks in this approach are however the tedium of developing an extraction ontology adequately covering the semantic scope of web data to be 作者: 營養(yǎng) 時間: 2025-3-26 05:26 作者: Amnesty 時間: 2025-3-26 12:33
Item Weighting Techniques for Collaborative Filteringthe computation of user-to-user similarity is an important element in CF; it is used in the neighborhood formation and rating prediction steps. In this paper we investigate the role of item weighting techniques. An item weight provides a measure of the importance of an item for predicting the rating作者: FECK 時間: 2025-3-26 13:23 作者: Detonate 時間: 2025-3-26 18:26 作者: Gum-Disease 時間: 2025-3-27 00:08
978-3-642-42609-4Springer-Verlag Berlin Heidelberg 2009作者: 協(xié)奏曲 時間: 2025-3-27 02:18
Knowledge Discovery Enhanced with Semantic and Social Information978-3-642-01891-6Series ISSN 1860-949X Series E-ISSN 1860-9503 作者: Medley 時間: 2025-3-27 08:58
Bettina Berendt,Dunja Mladeni?,Filip ?eleznyPresents latest results on knowledge discovery enhanced with semantic and social information作者: 對待 時間: 2025-3-27 12:01
Studies in Computational Intelligencehttp://image.papertrans.cn/k/image/543857.jpg作者: 浮雕 時間: 2025-3-27 16:02 作者: patriarch 時間: 2025-3-27 21:06
Knowledge Discovery Enhanced with Semantic and Social Information作者: conference 時間: 2025-3-27 22:39 作者: Adrenaline 時間: 2025-3-28 04:47 作者: JAUNT 時間: 2025-3-28 07:13 作者: 有助于 時間: 2025-3-28 13:55
eaders develop more case studies to further the application of this exciting tool.Table of Contents: Introduction / Brief History of Geometric Programming / The978-3-031-79330-1Series ISSN 2690-0300 Series E-ISSN 2690-0327 作者: 斜 時間: 2025-3-28 16:27 作者: Hyaluronic-Acid 時間: 2025-3-28 20:02 作者: 反感 時間: 2025-3-28 23:34
Jan Rauch,Milan ?im?nekeaders develop more case studies to further the application of this exciting tool.Table of Contents: Introduction / Brief History of Geometric Programming / The978-3-031-79330-1Series ISSN 2690-0300 Series E-ISSN 2690-0327 作者: 辯論的終結(jié) 時間: 2025-3-29 03:58
eaders develop more case studies to further the application of this exciting tool.Table of Contents: Introduction / Brief History of Geometric Programming / The978-3-031-79330-1Series ISSN 2690-0300 Series E-ISSN 2690-0327 作者: Arb853 時間: 2025-3-29 09:30