標(biāo)題: Titlebook: Database Systems for Advanced Applications; DASFAA 2015 Internat An Liu,Yoshiharu Ishikawa,Muhammad Aamir Cheema Conference proceedings 201 [打印本頁] 作者: Mosquito 時間: 2025-3-21 17:54
書目名稱Database Systems for Advanced Applications影響因子(影響力)
書目名稱Database Systems for Advanced Applications影響因子(影響力)學(xué)科排名
書目名稱Database Systems for Advanced Applications網(wǎng)絡(luò)公開度
書目名稱Database Systems for Advanced Applications網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Database Systems for Advanced Applications被引頻次
書目名稱Database Systems for Advanced Applications被引頻次學(xué)科排名
書目名稱Database Systems for Advanced Applications年度引用
書目名稱Database Systems for Advanced Applications年度引用學(xué)科排名
書目名稱Database Systems for Advanced Applications讀者反饋
書目名稱Database Systems for Advanced Applications讀者反饋學(xué)科排名
作者: glisten 時間: 2025-3-21 23:56 作者: facetious 時間: 2025-3-22 01:16
Maintaining Ranking Lists in Dynamic Virtual Environmentser the problem of maintaining the ranking lists of items for preference queries in dynamic virtual environments, which is very useful for avatars in virtual environments to continuously monitor interesting items surrounding them. Traditional solutions on preference queries utilize the pre-computed m作者: tenosynovitis 時間: 2025-3-22 04:59
Knowledge Communication Analysis Based on Clustering and Association Rules Miningy studies the method of mining knowledge communication via Open-Access Journals. We first designed a new framework of knowledge communication analysis based on clustering and association rule mining. Then, we proposed two improved indexes named cited frequency and weighted cited frequency. Extensive作者: ODIUM 時間: 2025-3-22 09:00 作者: COMMA 時間: 2025-3-22 15:35
Schema Matching Based on Source Codeshanging among several authorities. Existing techniques for schema matching are classified as either schema-based, instance-based, or a combination of both. In this paper, we propose a new class of techniques, called schema matching based on source codes. The idea is to exploit the . extracted from t作者: COMMA 時間: 2025-3-22 19:45 作者: 屈尊 時間: 2025-3-22 23:58
Entity Relation Mining in Large-Scale Datarelationship extraction is to explore the relationship between a set of realistic entities. It’s a challenging research field and has a widely application value in the related fields of text mining. In this paper, we propose a newly defined framework called Snowball++ based on the traditional entity作者: Essential 時間: 2025-3-23 02:02
A Collaborative Filtering Model for Personalized Retweeting Predictionmount of information posted by users and the highly frequent updates in social media, users often face the problem of information overload and miss out of content that they may be interested in. Recommender systems, which recommends an item (e.g., a product, a service and a twitter etc.) to users ba作者: infelicitous 時間: 2025-3-23 08:02 作者: diabetes 時間: 2025-3-23 12:03
Emergency Situation Awareness During Natural Disasters Using Density-Based Adaptive Spatiotemporal Ceo-annotated data is posted on social media sites. To enhance emergency situation awareness, these geo-annotated data are expected to be used in a new medium. In particular, geotagged tweets on Twitter are used by local governments to determine the situation accurately during natural disasters. Geot作者: Afflict 時間: 2025-3-23 16:31
Distributed Data Managing in Health Care Social Network Based on Mobile P2P, there are many rural residents could not afford the cost for commercial network. To solve the problem of being lack of a cheap and stable communication infrastructure directly between hospital servers and rural village residents’ cellphones, this system managed to leverage mobile P2P and social ne作者: 結(jié)果 時間: 2025-3-23 18:31
Survey of MOOC Related Researchke further research on their MOOC data. E-learning research organizations combine MOOC research into their area to find better learning models of MOOC. Some MOOC related research organizations follow the frontier of MOOC. Research of MOOC is on the way.作者: Custodian 時間: 2025-3-24 00:15
Modeling Large Time Series for Efficient Approximate Query Processingion at any given time. Due to the current growth of data volumes, timely extraction of relevant information becomes more and more difficult with traditional methods. In addition, contemporary Decision Support Systems (DSS) favor faster approximations over slower exact results. Generally speaking, pr作者: N防腐劑 時間: 2025-3-24 03:08 作者: facetious 時間: 2025-3-24 06:43 作者: Coronation 時間: 2025-3-24 10:52 作者: poliosis 時間: 2025-3-24 17:57
Emergency Situation Awareness During Natural Disasters Using Density-Based Adaptive Spatiotemporal Cral densities. Extracting .-density-based adaptive spatiotemporal clusters allows the proposed method to analyze emergency situations such as natural disasters in real time. The experimental results showed that the proposed method can analyze emergency situations related to the weather in Japan more作者: BUCK 時間: 2025-3-24 21:59
Modeling Large Time Series for Efficient Approximate Query Processingnd piece-wise aggregation to derive the models. These models are initially created from the original data and are kept in the database along with it. Subsequent queries are answered using the stored models rather than scanning and processing the original datasets. In order to support model query pro作者: 江湖騙子 時間: 2025-3-25 00:53 作者: gregarious 時間: 2025-3-25 05:30 作者: strain 時間: 2025-3-25 11:31 作者: lactic 時間: 2025-3-25 13:39 作者: 混沌 時間: 2025-3-25 18:42 作者: 記憶法 時間: 2025-3-25 22:41
Conference proceedings 2015or-proposals process. The workshop organizers put a tremendous amount of effort into soliciting and - lecting papers with a balance of high quality, new ideas and new applications. We asked all workshops to follow a rigid paper selection process, including the procedure to ensure that any Program Co作者: Gratulate 時間: 2025-3-26 02:11
A Novel Method for Clustering Web Search Results with Wikipedia Disambiguation Pages作者: placebo 時間: 2025-3-26 07:12 作者: abysmal 時間: 2025-3-26 08:32 作者: Type-1-Diabetes 時間: 2025-3-26 15:16
An Liu,Yoshiharu Ishikawa,Muhammad Aamir CheemaIncludes supplementary material: 作者: 獎牌 時間: 2025-3-26 18:18
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/d/image/263404.jpg作者: overweight 時間: 2025-3-26 22:10 作者: 殺菌劑 時間: 2025-3-27 03:08 作者: Myocarditis 時間: 2025-3-27 05:45
Tobias Schneider,Amir Moradi,Tim Güneysuer the problem of maintaining the ranking lists of items for preference queries in dynamic virtual environments, which is very useful for avatars in virtual environments to continuously monitor interesting items surrounding them. Traditional solutions on preference queries utilize the pre-computed m作者: Crohns-disease 時間: 2025-3-27 13:16 作者: isotope 時間: 2025-3-27 17:25
Tobias Schneider,Amir Moradi,Tim Güneysuposed a classification method based on probabilistic topic model, which greatly improve the performance of sentimental categorization methods on short text. To solve the problems of sparsity and context-dependency, we extract hidden topics behind the text and associate different words by the same to作者: Rankle 時間: 2025-3-27 21:46 作者: 膽小懦夫 時間: 2025-3-27 22:40
Canonical DPA Attack on?HMAC-SHA1/SHA2ations to measure and coordinate the energy consumption activity of individual key energy users within them. To enhance the overall performance of energy consumption under limited energy budget, the present paper proposes a new criterion, i.e., energy consumption satisfaction degree (ECSD), for an o作者: FEIGN 時間: 2025-3-28 02:50
Lichao Wu,Guilherme Perin,Stjepan Picekrelationship extraction is to explore the relationship between a set of realistic entities. It’s a challenging research field and has a widely application value in the related fields of text mining. In this paper, we propose a newly defined framework called Snowball++ based on the traditional entity作者: heterogeneous 時間: 2025-3-28 06:56
Lecture Notes in Computer Sciencemount of information posted by users and the highly frequent updates in social media, users often face the problem of information overload and miss out of content that they may be interested in. Recommender systems, which recommends an item (e.g., a product, a service and a twitter etc.) to users ba作者: construct 時間: 2025-3-28 12:51
A Second Look at?the?ASCAD Databasesvitamin c fruit”. Its paraphrases are expressions or sentences that convey the same meaning but are different syntactically, such as “Lemons are rich in vitamin c”, or “Lemons contain a lot of vitamin c”. We aim at finding sentence-level paraphrases from the noisy Web, instead of domain-specific cor作者: 排出 時間: 2025-3-28 15:57 作者: antidote 時間: 2025-3-28 22:22 作者: 1分開 時間: 2025-3-29 02:05 作者: definition 時間: 2025-3-29 03:51
Patrick Karl,Jonas Schupp,Georg Siglion at any given time. Due to the current growth of data volumes, timely extraction of relevant information becomes more and more difficult with traditional methods. In addition, contemporary Decision Support Systems (DSS) favor faster approximations over slower exact results. Generally speaking, pr作者: B-cell 時間: 2025-3-29 07:50
Survey of MOOC Related Researchke further research on their MOOC data. E-learning research organizations combine MOOC research into their area to find better learning models of MOOC. Some MOOC related research organizations follow the frontier of MOOC. Research of MOOC is on the way.作者: 合乎習(xí)俗 時間: 2025-3-29 13:24 作者: ACME 時間: 2025-3-29 18:27 作者: 尊重 時間: 2025-3-29 23:47
Database Systems for Advanced Applications978-3-319-22324-7Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: dysphagia 時間: 2025-3-30 03:39 作者: maroon 時間: 2025-3-30 04:02 作者: 凝結(jié)劑 時間: 2025-3-30 08:18
Sentiment Detection of Short Text via Probabilistic Topic Modeling text. To solve the problems of sparsity and context-dependency, we extract hidden topics behind the text and associate different words by the same topic. Evaluation on sentiment detection of short text verified the effectiveness of the proposed method.作者: JAUNT 時間: 2025-3-30 15:22 作者: 不能根除 時間: 2025-3-30 16:50
Intensive Maximum Entropy Model for Sentiment Classification of Short Textlassification, which generates the probability of sentiments conditioned to short text by employing intensive feature functions. Experimental evaluations using real-world data validate the effectiveness of the proposed model on sentiment classification of short text.作者: 揉雜 時間: 2025-3-30 23:49 作者: 壓艙物 時間: 2025-3-31 01:24 作者: CHYME 時間: 2025-3-31 06:30 作者: 狗窩 時間: 2025-3-31 13:08
Dialogues, Reasons and Endorsementn item is generated by ratings of these opinion leaders and the active user. Experimental results based on Epinions data set demonstrated that the prediction accuracy of our method outperforms other approach.作者: 溺愛 時間: 2025-3-31 16:58
A Second Look at?the?ASCAD Databases on five distinct semantic relations. Experiments show our average precision is ., compared to TE/ASE method with average precision of .. Besides, we can acquire 3 paraphrases more than TE/ASE method per input.
