標(biāo)題: Titlebook: Databases Theory and Applications; 26th Australasian Da Mohamed A. Sharaf,Muhammad Aamir Cheema,Jianzhong Conference proceedings 2015 Spri [打印本頁] 作者: chondrocyte 時間: 2025-3-21 19:15
書目名稱Databases Theory and Applications影響因子(影響力)
書目名稱Databases Theory and Applications影響因子(影響力)學(xué)科排名
書目名稱Databases Theory and Applications網(wǎng)絡(luò)公開度
書目名稱Databases Theory and Applications網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Databases Theory and Applications被引頻次
書目名稱Databases Theory and Applications被引頻次學(xué)科排名
書目名稱Databases Theory and Applications年度引用
書目名稱Databases Theory and Applications年度引用學(xué)科排名
書目名稱Databases Theory and Applications讀者反饋
書目名稱Databases Theory and Applications讀者反饋學(xué)科排名
作者: Jejune 時間: 2025-3-21 21:32 作者: Overthrow 時間: 2025-3-22 03:02 作者: textile 時間: 2025-3-22 08:28
https://doi.org/10.1007/978-3-658-36816-6two major KBs, DBpedia and Freebase, to seed the attribute extraction from Web texts and DOM trees. We specially focus on exploring the extraction technique from DOM trees, which is rarely studied in previous works. Algorithms and a series of filters are developed. Experiments show the capability of our approach in augmenting existing KB ontology.作者: 脆弱吧 時間: 2025-3-22 09:48
https://doi.org/10.1007/978-3-658-31386-9ion. This reduces the processing cost for the new algorithm and as a consequence, the new algorithm outperforms existing CACHEJOIN significantly. In order to quantify the performance differences, we compare both algorithms using both synthetic and real datasets with a known skewed distribution. We also present the cost model for our new algorithm.作者: INCH 時間: 2025-3-22 14:41 作者: INCH 時間: 2025-3-22 20:11
Ontology Augmentation via Attribute Extraction from Multiple Types of Sourcestwo major KBs, DBpedia and Freebase, to seed the attribute extraction from Web texts and DOM trees. We specially focus on exploring the extraction technique from DOM trees, which is rarely studied in previous works. Algorithms and a series of filters are developed. Experiments show the capability of our approach in augmenting existing KB ontology.作者: offense 時間: 2025-3-22 21:17 作者: 綠州 時間: 2025-3-23 02:51 作者: RADE 時間: 2025-3-23 08:46
0302-9743 June 2015. The 24 full papers presented together with 5 demo papers were carefully reviewed and selected from 43 submissions.The Australasian Database Conference is an annual international forum for sharing the latest research advancements and novel applications of database systems, data driven app作者: 半圓鑿 時間: 2025-3-23 10:34 作者: ELATE 時間: 2025-3-23 16:44 作者: 招致 時間: 2025-3-23 19:36
Belief Revision in Uncertain Data Integrationf the information in the sources in a systematic way to remedy this difficulty. The revision step is similar in spirit to tasks like data cleaning and record linkage and should be carried out before integration can be achieved for probabilistic uncertain data.作者: cinder 時間: 2025-3-24 01:35
Personal Process Description Graph for Describing and Querying Personal Processesnd a personal process query. The personal process query approach is developed to support different types of graph queries in a personal process graph repository. The approach follows a filtering and refinement framework to speed up the query computation. We conducted experiments to demonstrate the efficiency of our techniques.作者: 過渡時期 時間: 2025-3-24 05:26 作者: 龍蝦 時間: 2025-3-24 09:13
Ontology Augmentation via Attribute Extraction from Multiple Types of Sourcess, . has attracted tremendous research attentions. However, most existing attribute extraction techniques focus on exploring a single type of sources, such as structured (e.g., relational databases), semi-structured (e.g., Extensible Markup Language (XML)) or unstructured sources (e.g., Web texts, i作者: 無可爭辯 時間: 2025-3-24 12:24 作者: Afflict 時間: 2025-3-24 15:30
Unifying Spatial, Temporal and Semantic Features for an Effective GPS Trajectory-Based Location Recoing principle of this problem is to predict the . of candidate locations to the user and make recommendations accordingly. Enormous attention has been devoted to this problem by research and industrial community lately due to its applicability in numerous applications. In this work we develop an eff作者: GET 時間: 2025-3-24 21:50
A Cache-Based Semi-Stream Join to deal with Unmatched Stream Data-time data warehousing) for up-to-date information. One common operation in semi-stream processing is joining of incoming stream with disk-based master data. A recent algorithm called CACHEJOIN was proposed to implement this join operation. However, CACHEJOIN loads entire stream data into join modul作者: endoscopy 時間: 2025-3-25 00:07 作者: 總 時間: 2025-3-25 06:12
Belief Revision in Uncertain Data Integrationt there is no guarantee that they are satisfied in practical situations. We present a Bayesian-based approach to revise the probability distribution of the information in the sources in a systematic way to remedy this difficulty. The revision step is similar in spirit to tasks like data cleaning and作者: 他去就結(jié)束 時間: 2025-3-25 09:32
Personal Process Description Graph for Describing and Querying Personal Processesss. In order to describe, share and analyze personal processes more effectively, in this paper, we propose Personal Process Description Graph (PPDG) and a personal process query. The personal process query approach is developed to support different types of graph queries in a personal process graph 作者: 咽下 時間: 2025-3-25 13:36 作者: Kaleidoscope 時間: 2025-3-25 16:06
Improvement of Join Algorithms for Low-Selectivity Joins on MapReducequently used in query processing for datasets among several management domains, such as those used with Linked Open Data. We found there is room for improvement of the state-of-the-art approach for the low-selectivity join on MapReduce called the per-split semi-join[.]. In this paper, we first thus 作者: filicide 時間: 2025-3-25 23:06
Predicting Users’ Purchasing Behaviors Using Their Browsing History their choices and their purchasing behaviors are more qualified and valid for capturing users’ needs and preferences than other types of users’ behavior data (e.g., browsing). However, there is not enough users’ purchasing data available for most of small and medium-size E-commerce sites as well as作者: 意外 時間: 2025-3-26 00:10 作者: 鐵砧 時間: 2025-3-26 04:34
Cognition and Statistical-Based Crowd Evaluation Framework for ER-in-House Crowdsourcing System: Inblity issues such as duplicate records pose great challenge to organizations to efficiently and effectively perform their business operations such as customer relationship management, marketing, contact centers management etc. Recently, crowdsourcing technique has been used to improve the accuracy of作者: Spinal-Tap 時間: 2025-3-26 10:29 作者: Jargon 時間: 2025-3-26 16:28 作者: 善變 時間: 2025-3-26 17:10
978-3-319-19547-6Springer International Publishing Switzerland 2015作者: Orchiectomy 時間: 2025-3-26 23:17
Arbeitsmarktnetzwerk in der Krise?lation is, thus, more challenging as the more general definition of DDs creates: a combinatorial large search space; and hugely sized minimal cover sets of DDs. This paper proposes a simple, yet effective and efficient approach to mine DDs in a given relation. We study and present a link between DDs作者: 中子 時間: 2025-3-27 02:50
https://doi.org/10.1007/978-3-658-36816-6s, . has attracted tremendous research attentions. However, most existing attribute extraction techniques focus on exploring a single type of sources, such as structured (e.g., relational databases), semi-structured (e.g., Extensible Markup Language (XML)) or unstructured sources (e.g., Web texts, i作者: BIAS 時間: 2025-3-27 07:58
https://doi.org/10.1007/978-3-658-31386-9uling and urban planning. There are several previous work aiming at transit prediction, but they are all from the macro perspective. In this paper, we study the prediction of individuals in the context of public transport. Existing research on the prediction of individual behaviour are mostly found 作者: 觀點 時間: 2025-3-27 12:41 作者: 英寸 時間: 2025-3-27 13:56 作者: Commonplace 時間: 2025-3-27 19:34 作者: forebear 時間: 2025-3-28 01:53
Ground-Based Observations of Type III Burstst there is no guarantee that they are satisfied in practical situations. We present a Bayesian-based approach to revise the probability distribution of the information in the sources in a systematic way to remedy this difficulty. The revision step is similar in spirit to tasks like data cleaning and作者: IRK 時間: 2025-3-28 05:11
M. Kramar,V. Airapetian,Z. Miki?,J. Davilass. In order to describe, share and analyze personal processes more effectively, in this paper, we propose Personal Process Description Graph (PPDG) and a personal process query. The personal process query approach is developed to support different types of graph queries in a personal process graph 作者: dowagers-hump 時間: 2025-3-28 09:36
Astrophysics and Space Science Library. Predicting the spread of such contents is important for obtaining latest information on different topics, viral marketing etc. Existing approaches on spread prediction are mainly focused on content and past behavior of users. However, not enough attention is paid to the structural characteristics 作者: Sigmoidoscopy 時間: 2025-3-28 14:22
https://doi.org/10.1007/978-3-642-65694-1quently used in query processing for datasets among several management domains, such as those used with Linked Open Data. We found there is room for improvement of the state-of-the-art approach for the low-selectivity join on MapReduce called the per-split semi-join[.]. In this paper, we first thus 作者: 損壞 時間: 2025-3-28 14:55 作者: senile-dementia 時間: 2025-3-28 21:46 作者: ANN 時間: 2025-3-29 02:47
Yoshiaki Mitsutake,Takafumi Uenolity issues such as duplicate records pose great challenge to organizations to efficiently and effectively perform their business operations such as customer relationship management, marketing, contact centers management etc. Recently, crowdsourcing technique has been used to improve the accuracy of作者: irradicable 時間: 2025-3-29 05:23 作者: 有效 時間: 2025-3-29 08:10
Community Based Information Disseminationommunities play an important role since information can be disseminated to communities via the seeds. We introduce a new mechanism for detecting communities satisfying the pertinent criteria for communities and information dissemination. We demonstrate the effectiveness of our approach by an application of the results for influence maximization.作者: expository 時間: 2025-3-29 14:30
Databases Theory and Applications978-3-319-19548-3Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Harridan 時間: 2025-3-29 15:52 作者: motor-unit 時間: 2025-3-29 23:25
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/d/image/263527.jpg作者: 清澈 時間: 2025-3-30 01:48
Conference proceedings 2015tify new issues and directions for future research. ADC seeks papers from academia and industry presenting research on all practical and theoretical aspects of advanced database theory and applications, as well as case studies and implementation experiences.作者: 煩憂 時間: 2025-3-30 06:12 作者: 感染 時間: 2025-3-30 11:12 作者: defray 時間: 2025-3-30 15:56
https://doi.org/10.1007/978-3-658-31386-9 simultaneously used all of these features for location recommendation. We experiment on real-world GPS datasets to show that our approach provides more precise recommendations compared with baseline approaches.作者: 紅潤 時間: 2025-3-30 18:02 作者: fluffy 時間: 2025-3-30 22:31 作者: 取之不竭 時間: 2025-3-31 01:42 作者: 苦笑 時間: 2025-3-31 05:09 作者: GRAIN 時間: 2025-3-31 12:59 作者: cancellous-bone 時間: 2025-3-31 17:13 作者: 細菌等 時間: 2025-3-31 19:23 作者: 離開就切除 時間: 2025-3-31 23:04 作者: grounded 時間: 2025-4-1 02:45 作者: 招募 時間: 2025-4-1 10:01 作者: ACE-inhibitor 時間: 2025-4-1 13:44
Predicting Passengers in Public Transportation Using Smart Card Dataof experiments on a dataset from public transport fare collecting system. Our detailed experimental evaluation demonstrates that our method gets good performance on predicting public transport individuals.作者: Tartar 時間: 2025-4-1 15:32
Unifying Spatial, Temporal and Semantic Features for an Effective GPS Trajectory-Based Location Reco simultaneously used all of these features for location recommendation. We experiment on real-world GPS datasets to show that our approach provides more precise recommendations compared with baseline approaches.
