標(biāo)題: Titlebook: Data Engineering and Management; Second International Rajkumar Kannan,Frederic Andres Conference proceedings 2012 Springer-Verlag GmbH Berl [打印本頁(yè)] 作者: 我在爭(zhēng)斗志 時(shí)間: 2025-3-21 19:33
書目名稱Data Engineering and Management影響因子(影響力)
書目名稱Data Engineering and Management影響因子(影響力)學(xué)科排名
書目名稱Data Engineering and Management網(wǎng)絡(luò)公開度
書目名稱Data Engineering and Management網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Data Engineering and Management被引頻次
書目名稱Data Engineering and Management被引頻次學(xué)科排名
書目名稱Data Engineering and Management年度引用
書目名稱Data Engineering and Management年度引用學(xué)科排名
書目名稱Data Engineering and Management讀者反饋
書目名稱Data Engineering and Management讀者反饋學(xué)科排名
作者: Facet-Joints 時(shí)間: 2025-3-21 21:04 作者: 有斑點(diǎn) 時(shí)間: 2025-3-22 01:26
Clinical Informatics Study Guide blogs, cooperative platforms, digital libraries, document versioning tools, etc.). We believe that supporting contextual semantics can add a set of properties that vary according to the use of ontological topic maps (TM). Their use is beneficial for users who intend to exchange semantic knowledge i作者: conquer 時(shí)間: 2025-3-22 07:03 作者: Neutral-Spine 時(shí)間: 2025-3-22 11:54 作者: Apraxia 時(shí)間: 2025-3-22 14:00
Clinical Informatics Study Guidemation completely. It is essential to provide the information in a condensed form expressing the central idea of the document. Automatic text summarization is used for generating the summary for the document. This paper presents a novel Abstract Generation System (AGS) to generate an abstract from t作者: Apraxia 時(shí)間: 2025-3-22 19:52 作者: 啪心兒跳動(dòng) 時(shí)間: 2025-3-23 00:04 作者: gregarious 時(shí)間: 2025-3-23 03:05
Overview of Hardware and Softwarethe materialized view without accessing the original database. The paper proposes clustering based dynamic materialized view selection algorithm. The base of the paper is to propose similarity function, clustering materialized view and then dynamically adjusting the materialized view.作者: alliance 時(shí)間: 2025-3-23 07:45 作者: Outmoded 時(shí)間: 2025-3-23 10:22
https://doi.org/10.1007/978-1-4613-8593-6ntain noisy data and randomly selected initial centre of the clusters converge the clustering to local minima. In this paper, we propose a framework for clustering high dimensional data with attribute subset selection and efficient cluster centre initialization. It uses rough set theory to determine作者: 形狀 時(shí)間: 2025-3-23 16:05 作者: cancellous-bone 時(shí)間: 2025-3-23 21:04
Overview of Hardware and Softwarering techniques to retrieve images similar to the input image. This paper involves retrieving images from huge image databases which are visually similar to a query image. Due to the enormous increase in image database size, and its high usage in a variety of applications, need for the development o作者: 捐助 時(shí)間: 2025-3-24 01:37
https://doi.org/10.1007/978-1-4613-8593-6. If, for example, two different sources provide separate case reports related to the same incident, the dates of onset may not match perfectly but are more likely to differ by a few days than by several years. In order to tackle the variations in numbers a few methods are available. The paper propo作者: Exhilarate 時(shí)間: 2025-3-24 03:36
G. Leclercq,S. Toma,J. C. Heusonalysis and Hidden Markov Model. Face recognition is an important research problem spanning numerous fields and disciplines. Face recognition draws a complex task and the changes in incident illumination ,head pose, facial expression, size and other external factors. HMM based framework for face reco作者: 含糊其辭 時(shí)間: 2025-3-24 07:26
G. Leclercq,S. Toma,J. C. Heusonedicated to this field and valuable progress has been observed. Both sequential and structured pattern mining techniques were applied to NMS. In particular NMS logs (Performance and Alarm) pose several interesting issues for pattern mining, and it can help in various NMS activities such as alarm cor作者: Type-1-Diabetes 時(shí)間: 2025-3-24 13:04 作者: 發(fā)誓放棄 時(shí)間: 2025-3-24 15:49
Luigi Cancrini,Francesca Romana De Gregorioalgorithm using FP tree has been considered for frequent pattern mining because of its enormous performance and development compared to the candidate generation model of Apriori. The purpose of our work is to provide a tree structure for incremental and interactive weighted pattern mining by only on作者: Cursory 時(shí)間: 2025-3-24 21:48 作者: Lasting 時(shí)間: 2025-3-25 02:36
https://doi.org/10.1007/978-3-642-27872-3association rules; formal methods; model checking; opinion mining; wireless sensor networks作者: transplantation 時(shí)間: 2025-3-25 07:20 作者: 翻動(dòng) 時(shí)間: 2025-3-25 08:57
Web Access Pattern Mining – A Surveymines complete set of patterns that satisfy the given support threshold from a given Web Access Sequence Database. A brief discussion of basic theory and terminologies related to web access pattern mining are Presented. A comparison of the different methods is also given.作者: 內(nèi)向者 時(shí)間: 2025-3-25 13:08
Dynamic Materialized View Selection Algorithm: A Clustering Approachthe materialized view without accessing the original database. The paper proposes clustering based dynamic materialized view selection algorithm. The base of the paper is to propose similarity function, clustering materialized view and then dynamically adjusting the materialized view.作者: asthma 時(shí)間: 2025-3-25 17:30 作者: CAB 時(shí)間: 2025-3-25 22:49 作者: 寬大 時(shí)間: 2025-3-26 01:54
Data Engineering and Management978-3-642-27872-3Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: labyrinth 時(shí)間: 2025-3-26 05:53 作者: 獎(jiǎng)牌 時(shí)間: 2025-3-26 09:00 作者: 小母馬 時(shí)間: 2025-3-26 15:24 作者: 倔強(qiáng)不能 時(shí)間: 2025-3-26 17:54
A Novel Text – Mining System for Generating Abstract from Extracted Summaries Using Anaphora Resoluta Resolution Systems (ARS). The results are compared with the model summary written by human beings. The standard metric of Information Extraction (IE) systems namely the success rate has been used to measure and study the performance of AGS.作者: Guaff豪情痛飲 時(shí)間: 2025-3-26 22:30 作者: labyrinth 時(shí)間: 2025-3-27 04:32
An Adaptive Image Retrieval System with Relevance Feedback and Clusteringiques are used to reduce the time complexity of the system. The system uses three-layered neural network to train the system using image clusters as training dataset by a supervised approach. Also after taking the feedback from the user, the image clusters are re-clustered by rearranging the images 作者: 滲入 時(shí)間: 2025-3-27 06:22 作者: 圖表證明 時(shí)間: 2025-3-27 12:05 作者: 控訴 時(shí)間: 2025-3-27 17:29
https://doi.org/10.1007/978-3-319-22753-5wledge sources. Moreover, Cyber Brain paid more attentions to provide one stop service and ubiquitous personalized knowledge service. This paper overviews some key technologies and methodologies emerging in knowledge engineering, ontology engineering, language engineering, including knowledge proces作者: FLIC 時(shí)間: 2025-3-27 20:56 作者: 漂亮 時(shí)間: 2025-3-27 23:20
https://doi.org/10.1007/978-3-662-26537-6uency, along with the size, of the view to select Top-K views for materialization. The proposed algorithm, in each iteration, computes the profit, defined in terms of size and query frequency, and then selects the most profitable view for materialization. As a result, the views selected are benefici作者: CREST 時(shí)間: 2025-3-28 03:35
Overview of Hardware and Softwareiques are used to reduce the time complexity of the system. The system uses three-layered neural network to train the system using image clusters as training dataset by a supervised approach. Also after taking the feedback from the user, the image clusters are re-clustered by rearranging the images 作者: 連接 時(shí)間: 2025-3-28 08:47
Ana Paula Relvas,Luciana Soteroanalysis patterns in dimensional data modeling is given no attention to in literature and in practice. This paper will overcome this gap in building data warehouse systems by introducing analysis patterns for dimensional data models which address well known and recurring problems in specific context作者: 檢查 時(shí)間: 2025-3-28 14:09 作者: COM 時(shí)間: 2025-3-28 15:15
Semantic Collation of Enterprise Data for Effective Information Retrieval that contain relevant data will need to be semantically tagged and their semantic cross-relationship identified. We present a 3-tier ontology based architecture to semantically collate the information from disparate data sources in an enterprise.作者: 得罪 時(shí)間: 2025-3-28 21:54 作者: fluoroscopy 時(shí)間: 2025-3-28 23:13 作者: GUEER 時(shí)間: 2025-3-29 06:43
Using the Normalization for Typographic Errors in Numeralse more likely to differ by a few days than by several years. In order to tackle the variations in numbers a few methods are available. The paper proposes a new normalization technique useful for the numerical record. A Comparison of Distance with the Smith Waterman Distance shows significant increase in the weight by the present technique.作者: intolerance 時(shí)間: 2025-3-29 10:51
Conference proceedings 2012carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on Digital Library; Knowledge and Mulsemedia; Data Management and Knowledge Extraction; Natural Language Processing; Workshop on Data Mining with Graphs and Matrices.作者: Germinate 時(shí)間: 2025-3-29 11:44 作者: 使乳化 時(shí)間: 2025-3-29 15:46 作者: Missile 時(shí)間: 2025-3-29 23:07
https://doi.org/10.1007/978-3-662-26537-6to verify this hypothesis the highly frequent time series will be evaluated in terms of forecasting quality where future value is predicted only on the basis of the past quotations. In this project as a predictive algorithm ARAR will be applied due to its good results in forecasting of the real financial time series.作者: 阻止 時(shí)間: 2025-3-30 02:09
G. Leclercq,S. Toma,J. C. Heusonrelation, alarm associations, self-healing or pro-active fault management. In this paper, we present an overview of the different pattern mining techniques used in NMSs, compare them and present the most beneficial ones to NMS for Radio over Fiber (RoF) like convergent networks.作者: 容易懂得 時(shí)間: 2025-3-30 07:27
Ontology Driven Data Management with Topic Mapsn an application domain. Existing semantic layers in current systems are not yet capable of supporting relevant contextual semantic description. In this paper, we aim at extending the many-sorted algebra formalizing the topic maps layer in order to support 5W1H contexts (What, Why, Where, Who, When and How) using TMBLOG system as case study.作者: 嫌惡 時(shí)間: 2025-3-30 09:51 作者: Arctic 時(shí)間: 2025-3-30 14:38 作者: PAC 時(shí)間: 2025-3-30 19:30 作者: corporate 時(shí)間: 2025-3-30 21:33 作者: 外貌 時(shí)間: 2025-3-31 04:49 作者: 收到 時(shí)間: 2025-3-31 05:24 作者: 聯(lián)想記憶 時(shí)間: 2025-3-31 11:29
Reduct and Variance Based Clustering of High Dimensional Datasetthe clusters. The k-means clustering algorithm is applied with these initial cluster centres, in phase three, to find optimal clustering of data set. It improves efficiency of the clustering process tremendously and our experiment on test data set shows that accuracy of the results has improved considerably.作者: 同音 時(shí)間: 2025-3-31 13:22
Mining Single Pass Weighted Pattern Treeingle-pass by applying tree restructuring technique and considerably reducing the mining time. It is competent of using prior tree structures and acquires mining outcomes to decrease the computation by incredible amount. Performance analysis show that our tree structure is very efficient for incremental and interactive weighted pattern mining.作者: inundate 時(shí)間: 2025-3-31 21:23
G. Leclercq,S. Toma,J. C. Heusonal techniques such as holistic methods (PCA,LDA,ICA), feature based methods(Elastic Bunch Graph Matching, Dynamic Link Matching),model based methods(Active Appearance Model,3D Morphable Models) and hybrid method(Markov Random Field Method) are well known for face detection and recognition.
