標(biāo)題: Titlebook: Database and Expert Systems Applications; 23rd International C Stephen W. Liddle,Klaus-Dieter Schewe,Xiaofang Zho Conference proceedings 20 [打印本頁] 作者: 自由才謹(jǐn)慎 時間: 2025-3-21 17:32
書目名稱Database and Expert Systems Applications影響因子(影響力)
書目名稱Database and Expert Systems Applications影響因子(影響力)學(xué)科排名
書目名稱Database and Expert Systems Applications網(wǎng)絡(luò)公開度
書目名稱Database and Expert Systems Applications網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Database and Expert Systems Applications被引頻次
書目名稱Database and Expert Systems Applications被引頻次學(xué)科排名
書目名稱Database and Expert Systems Applications年度引用
書目名稱Database and Expert Systems Applications年度引用學(xué)科排名
書目名稱Database and Expert Systems Applications讀者反饋
書目名稱Database and Expert Systems Applications讀者反饋學(xué)科排名
作者: 盡忠 時間: 2025-3-21 22:32 作者: 邪惡的你 時間: 2025-3-22 03:50 作者: 簡潔 時間: 2025-3-22 08:31 作者: 記成螞蟻 時間: 2025-3-22 10:17
0302-9743 fereed proceedings of the 23rd International Conference on Database and Expert Systems Applications, DEXA 2012, held in Vienna, Austria, September 3-6, 2012. .The 49 revised full papers presented together with 37 short papers and 2 keynote talks were carefully reviewed and selected from 179 submissi作者: Melodrama 時間: 2025-3-22 15:02
Robert N. Emde,Robert J. HarmonRSA is an annotation tool for web content where this technique is being used. The hybrid approach provides to FLERSA the capability for automatically define semantic annotations, determining the concepts that the content of a web document deals with.作者: Melodrama 時間: 2025-3-22 17:36
The Continuity of Second Realitynding relationships among topics, documents, and causes. We use the JST failure knowledge base to construct a TDC model with machine learning methods such as LDA and perceptron. The experimental results show that our approach performed better at discovering the causes of failures for projects and incidents.作者: GNAT 時間: 2025-3-23 00:40
Conference proceedings 2012Applications, DEXA 2012, held in Vienna, Austria, September 3-6, 2012. .The 49 revised full papers presented together with 37 short papers and 2 keynote talks were carefully reviewed and selected from 179 submissions. These papers discuss a range of topics including: database query processing, in pa作者: Crater 時間: 2025-3-23 05:14
Russellian Analysis in General Philosophyence from three aspects: content relatedness, temporal relatedness, and context relatedness. Tweets with high relatedness scores will be returned as search results. The experimental results showed our method performs better than conventional keyword-based methods.作者: 大喘氣 時間: 2025-3-23 06:34 作者: 兩種語言 時間: 2025-3-23 12:20 作者: 錯事 時間: 2025-3-23 14:42 作者: 中和 時間: 2025-3-23 20:10 作者: 誘使 時間: 2025-3-24 00:19 作者: braggadocio 時間: 2025-3-24 03:02 作者: VEST 時間: 2025-3-24 08:50 作者: 窗簾等 時間: 2025-3-24 12:20 作者: 妨礙議事 時間: 2025-3-24 17:58 作者: textile 時間: 2025-3-24 20:37
0302-9743 ailure, fault analysis, and uncertainty; predication, extraction, and annotation; ranking and personalisation; database partitioning and performance measurement; recommendation and prediction systems; business processes; social networking..978-3-642-32596-0978-3-642-32597-7Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: faddish 時間: 2025-3-25 02:10 作者: 委屈 時間: 2025-3-25 06:44 作者: 雕鏤 時間: 2025-3-25 11:33
Combination of Machine-Learning Algorithms for Fault Prediction in High-Precision Foundriesch and we propose a general method to foresee all the defects via building a meta-classifier combining different methods and without the need for selecting the best algorithm for each defect or available data. Finally, we compare the obtained results showing that the new approach allows us to obtain作者: JOT 時間: 2025-3-25 15:16 作者: 龍卷風(fēng) 時間: 2025-3-25 17:19 作者: faultfinder 時間: 2025-3-26 00:01
Conference proceedings 2012d query answering; structuring, compression and optimization; failure, fault analysis, and uncertainty; predication, extraction, and annotation; ranking and personalisation; database partitioning and performance measurement; recommendation and prediction systems; business processes; social networking..作者: bifurcate 時間: 2025-3-26 01:13
Competencies – Longer Term Use & Developmentdex is light-weight, and the overall storage requirement for both reduced column and index is less than 135%, whereas existing DBMS technologies can require 200-400%. As a proof-of-concept, we evaluate univariate range queries that additionally return column values, a critical component of data anal作者: 正式演說 時間: 2025-3-26 08:04
https://doi.org/10.1007/978-1-4613-2725-7ext, and a nearest-prototype classifier, which helps to recognize instances of the topological relationships. This approach is unsupervised, so it does not need annotated data. Moreover, it is based on an ontology, which prevents the hand-crafting of . rules. Experimental results on real datasets sh作者: 全面 時間: 2025-3-26 10:27 作者: obtuse 時間: 2025-3-26 12:53 作者: 潛伏期 時間: 2025-3-26 16:54 作者: Esophagus 時間: 2025-3-26 21:20 作者: REP 時間: 2025-3-27 03:18 作者: 大漩渦 時間: 2025-3-27 08:08
Prediction of Web User Behavior by Discovering Temporal Relational Rules from Web Log Dataation systems, web mining has become an essential tool for discovering specific information on the Web. There are a lot of previous web mining techniques have been proposed. In this paper, an approach of temporal interval relational rule mining is applied to discover knowledge from web log data. Com作者: 雪崩 時間: 2025-3-27 12:16
A Hybrid Approach to Text Categorization Applied to Semantic Annotationdel combined with n-grams. Given a specified content this technique takes care of choosing from different categories the one that best matches it. FLERSA is an annotation tool for web content where this technique is being used. The hybrid approach provides to FLERSA the capability for automatically 作者: spinal-stenosis 時間: 2025-3-27 16:25
An Unsupervised Framework for Topological Relations Extraction from Geographic Documentssearch project which aims at geo-referencing document contents, hence making the realization of a Geographical Information Retrieval system possible. The driving factor of this research is the huge amount of Web documents which mention geographic places and relate them spatially. Several approaches 作者: 分開如此和諧 時間: 2025-3-27 20:59 作者: BOOR 時間: 2025-3-28 01:30 作者: 盲信者 時間: 2025-3-28 02:41
Cause Analysis of New Incidents by Using Failure Knowledge Databasehis paper, to better analyze the causes of failed projects and incidents, we propose a novel topic-document-cause(TDC) model that reveals the corresponding relationships among topics, documents, and causes. We use the JST failure knowledge base to construct a TDC model with machine learning methods 作者: 幻影 時間: 2025-3-28 07:23
Modeling and Querying Context-Aware Personal Information Spacesinformation for everyday use. It is characterized by its heterogeneity, its dispersion and its redundancy. In this paper, our reflection focused on the development of a model that will be user-based. It help him create his data model depending on his needs.The meta-model that we propose allows users作者: Generator 時間: 2025-3-28 13:56 作者: Melatonin 時間: 2025-3-28 15:19
Towards Quantitative Constraints Ranking in Data Clusteringity of the generated clusters. However, in some real problems, an explosion in the volume of the processed data and their related constraints overwhelm the expert. In this paper, we aim to explicitly formulate the expert preferences on supervising the clustering mechanism through injecting their deg作者: bronchiole 時間: 2025-3-28 21:05
A Topic-Oriented Analysis of Information Diffusion in a Blogosphere very important in developing successful business strategies for a blogosphere. In this paper, we discuss how to predict information diffusion in a blogosphere. Documents diffused over a blogosphere deal with information on . in reality. However, previous studies of information diffusion did not con作者: 租約 時間: 2025-3-29 01:55
Trip Tweets Search by Considering Spatio-temporal Continuity of User Behaviorher people as a whole experience. In this paper, we propose a novel method to find and organize such fragmented tweets at the level of user experiences. The notable feature of our method is that we find and organize tweets related to a certain trip experience by considering the spatio-temporal conti作者: Herd-Immunity 時間: 2025-3-29 03:17
https://doi.org/10.1007/978-3-642-32597-7Web mining; machine learning; performance evaluation; recommender systems; social Web作者: BLANC 時間: 2025-3-29 10:22
978-3-642-32596-0Springer-Verlag Berlin Heidelberg 2012作者: GEM 時間: 2025-3-29 12:39 作者: notification 時間: 2025-3-29 16:59
Stephen W. Liddle,Klaus-Dieter Schewe,Xiaofang ZhoFast track conference proceedings.Unique visibility.State of the art research作者: 保留 時間: 2025-3-29 22:33 作者: Initial 時間: 2025-3-30 03:33
The Origins and Early Development of CPEveral relational databases. In our scenario, we assume that the databases involved are updated by external independent applications, possibly introducing inconsistencies in a particular database, or leading to inconsistency among the subset of databases that refer to the same data. Argumentation rea作者: 跳動 時間: 2025-3-30 08:00
Competencies – Longer Term Use & Developmentuse of light-weight query-driven analysis methods, as opposed to heavy-weight schemes that optimize for speed at the expense of size. This paper is an attempt in the direction of query processing over losslessly compressed scientific data. We propose a co-designed double-precision compression and in作者: 浸軟 時間: 2025-3-30 12:17
Competencies – Longer Term Use & Developmentation systems, web mining has become an essential tool for discovering specific information on the Web. There are a lot of previous web mining techniques have been proposed. In this paper, an approach of temporal interval relational rule mining is applied to discover knowledge from web log data. Com作者: Coterminous 時間: 2025-3-30 16:10
