標(biāo)題: Titlebook: Web Technologies and Applications; 17th Asia-Pacific We Reynold Cheng,Bin Cui,Jia Xu Conference proceedings 2015 Springer International Pub [打印本頁] 作者: 女孩 時(shí)間: 2025-3-21 19:44
書目名稱Web Technologies and Applications影響因子(影響力)
書目名稱Web Technologies and Applications影響因子(影響力)學(xué)科排名
書目名稱Web Technologies and Applications網(wǎng)絡(luò)公開度
書目名稱Web Technologies and Applications網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Web Technologies and Applications被引頻次
書目名稱Web Technologies and Applications被引頻次學(xué)科排名
書目名稱Web Technologies and Applications年度引用
書目名稱Web Technologies and Applications年度引用學(xué)科排名
書目名稱Web Technologies and Applications讀者反饋
書目名稱Web Technologies and Applications讀者反饋學(xué)科排名
作者: Oration 時(shí)間: 2025-3-21 23:26 作者: Callus 時(shí)間: 2025-3-22 00:24 作者: 薄膜 時(shí)間: 2025-3-22 06:53
Efficient Location-Dependent Skyline Queries in Wireless Broadcast Environmentsskyline queries in a conventional setting, two new issues arise while processing location-dependent skyline in wireless broadcast environments. First, the result of an . is closely related to the query point’s location; secondly, query processing strategies must take the linear property of wireless 作者: 清晰 時(shí)間: 2025-3-22 09:29 作者: 來自于 時(shí)間: 2025-3-22 15:09
Multi-Label Emotion Tagging for Online News by Supervised Topic Modelprise, and anger, towards the news articles. Such emotions can not only help understand the preferences and perspectives of individual users, but also benefit a number of online applications to provide users with more relevant services. While most of previous approaches are intended for recognizing 作者: 混亂生活 時(shí)間: 2025-3-22 17:40
Distinguishing Specific and Daily Topicst event coreference resolution. In this paper, we investigate several numeric features that describe useful statistical information for this task, and propose a novel Bayesian model for distinguishing specific and daily topics from a collection of documents based on documents’ content. The proposed 作者: 模仿 時(shí)間: 2025-3-22 22:01
Matching Reviews to Object Based on 2-Stage CRFthe more complete holistic views of entities. According to the features of web data integration and reviews from web, we proposed a method based on 2-layer Conditional Random Fields(CRF) to match reviews to database objects. On the one hand, our method leverages the integrated structured entity and 作者: Thrombolysis 時(shí)間: 2025-3-23 02:50
Discovering Restricted Regular Expressions with Interleavingan unordered schema from a given set of XML examples, which is actually a problem of learning a restricted regular expression with interleaving using positive example strings. Schemas with interleaving could present meaningful knowledge that cannot be disclosed by previous inference techniques. More作者: emulsify 時(shí)間: 2025-3-23 07:31
Efficient Algorithms for Distance-Based Representative Skyline Computation in 2D Spacef representative skyline is the distance-based representative skyline (DBRS). Given an integer ., a DBRS includes . representative skyline points that aims at minimizing the maximal distance between a non-representative skyline point and its nearest representative. In the 2D space, the state-of-the-作者: Acclaim 時(shí)間: 2025-3-23 12:35
Trustworthy Collaborative Filtering through Downweighting Noise and Redundancyeract with merchants and service providers. Such purchasing logs and comments further lead to proliferation of recommender systems. Existing recommendation algorithms exploit either prior transactions or customer reviews to predict user interests towards certain items. Vast noise may be introduced i作者: 吞沒 時(shí)間: 2025-3-23 17:27 作者: 向外供接觸 時(shí)間: 2025-3-23 21:45 作者: botany 時(shí)間: 2025-3-23 22:35
Hashtag Sense Induction Based on Co-occurrence Graphsads to a situation such that one hashtag may have multiple senses. In this paper, we propose a method to induce senses of a hashtag in a particular time frame. Our assumption is that for a sense of a hashtag the context words around it are similar. Then we design a method that uses a co-occurrence g作者: DEI 時(shí)間: 2025-3-24 02:55 作者: 抱怨 時(shí)間: 2025-3-24 08:01
Hybrid-LSH for Spatio-Textual Similarity Queriesrward to utilizing LSH in mobile applications for processing spatio-textual similarity queries, such as find nearby shopping centers that have a top ranked hair salon. In this paper, we present hybrid-LSH, a new LSH method for indexing data objects according to both their spatial location and their 作者: DENT 時(shí)間: 2025-3-24 12:35
Efficient Buffer Management for PCM-Enhanced Hybrid Memory Architectureow energy consumption, and high read performance. However, PCM has a lower write speed than DRAM. Besides, it has a limited write endurance. Therefore, the co-existence of PCM and DRAM in main memory urges a careful buffer-management policy to avoid frequent writes to PCM. To address this problem, w作者: 土坯 時(shí)間: 2025-3-24 17:31 作者: epicardium 時(shí)間: 2025-3-24 22:43
Sleep Quality Evaluation of Active Microblog Userslog is the largest microblog platform with 500 million registered users in China. A microblog user is called AMU if s/he posts more than 100 microblogs during a year. Our study is meaningful because the amount of AMUs is huge in China and the results can reflect the lifestyle of these people. The pr作者: 異端邪說2 時(shí)間: 2025-3-25 00:54
Distance and Friendship: A Distance-Based Model for Link Prediction in Social Networksachievable. Understanding it correctly could result in appealing applications, such as targeted advertising and friends recommendation. In this paper, we focus on mining users’ relationship based on their mobility information. More specifically, we propose to use distance between two users to predic作者: Charitable 時(shí)間: 2025-3-25 03:35 作者: objection 時(shí)間: 2025-3-25 09:34 作者: 逃避責(zé)任 時(shí)間: 2025-3-25 12:51 作者: TIA742 時(shí)間: 2025-3-25 16:11
Distinguishing Specific and Daily Topicst event coreference resolution. In this paper, we investigate several numeric features that describe useful statistical information for this task, and propose a novel Bayesian model for distinguishing specific and daily topics from a collection of documents based on documents’ content. The proposed 作者: Assignment 時(shí)間: 2025-3-25 22:49 作者: 組裝 時(shí)間: 2025-3-26 02:07
Sentiment Word Identification with Sentiment Contextual Factorss a critical component of sentiment analysis technologies. Traditional sentiment word identification techniques become unqualified because they need seed sentiment words which leads to low robustness. In this paper, we consider SWI as a matrix factorization problem and propose three models for it. I作者: CLAN 時(shí)間: 2025-3-26 05:07
Discovering Restricted Regular Expressions with Interleavingan unordered schema from a given set of XML examples, which is actually a problem of learning a restricted regular expression with interleaving using positive example strings. Schemas with interleaving could present meaningful knowledge that cannot be disclosed by previous inference techniques. More作者: Absenteeism 時(shí)間: 2025-3-26 12:15 作者: 陪審團(tuán) 時(shí)間: 2025-3-26 15:44 作者: Parallel 時(shí)間: 2025-3-26 17:38
A Co-ranking Framework to Select Optimal Seed Set for Influence Maximization in Heterogeneous Networls in viral marketing, which has attracted increasing attention in both academia and industry. Most recent algorithms of influence maximization have demonstrated remarkable successes, however their applications are limited to homogeneous networks. In this paper, we formulate the problem of influence作者: lambaste 時(shí)間: 2025-3-26 23:37 作者: MAIZE 時(shí)間: 2025-3-27 01:19 作者: visceral-fat 時(shí)間: 2025-3-27 07:53 作者: COLIC 時(shí)間: 2025-3-27 11:33
An Ensemble Matchers Based Rank Aggregation Method for Taxonomy Matchingted in the knowledge base community. Studies reveal that there is no single taxonomy matcher suitable for any domain-specific taxonomy mapping, therefore an ensemble of taxonomy matchers is essential. In this paper, we propose taxonomy metamatching, a distributed computing framework for assembling t作者: drusen 時(shí)間: 2025-3-27 15:34 作者: Euphonious 時(shí)間: 2025-3-27 20:13 作者: 群居動(dòng)物 時(shí)間: 2025-3-28 01:30
Conference proceedings 2015ll papers and presented together with 3 industrial track papers and 7 demonstration track papers were carefully reviewed and selected from 146 submissions. The papers cover a wide spectrum of Web-related data management problems, and provide a thorough view on the rapid advances of technical solutio作者: 食道 時(shí)間: 2025-3-28 03:36
Discovering Restricted Regular Expressions with Interleavinge, we develop an approximation algorithm and a heuristic solution to tackle the problem using techniques different from known inference algorithms. We do experiments on real-world data sets to demonstrate the effectiveness of our approaches. Our heuristic algorithm is shown to produce results that are very close to optimal.作者: Tinea-Capitis 時(shí)間: 2025-3-28 07:44
A Co-ranking Framework to Select Optimal Seed Set for Influence Maximization in Heterogeneous Networflexible and could adequately takes advantage of additional information implicit in the heterogeneous structure. We conduct extensive experiments using the data collected from ACM Digital Library, and the experimental results show that both the quality and the running time of the proposed algorithm rival the existing algorithms.作者: 想象 時(shí)間: 2025-3-28 14:07
Hashtag Sense Induction Based on Co-occurrence Graphs co-occurring in the same tweet. A list of words with a high node degree representing a sense is extracted as a community of the graph. We take Wikipedia disambiguation list page as word sense inventory to refine the results by removing non-sense topics.作者: 破裂 時(shí)間: 2025-3-28 17:02 作者: 注視 時(shí)間: 2025-3-28 19:59 作者: 灰姑娘 時(shí)間: 2025-3-29 00:55 作者: Radiculopathy 時(shí)間: 2025-3-29 05:02
An Online Inference Algorithm for Labeled Latent Dirichlet Allocationpora and text streams. In this paper, we develop an efficient online algorithm for Labeled LDA, called .(online-LLDA). It is based on particle filter, a Sequential Monte Carlo approximation technique. Our experiments show that online-LLDA significantly outperforms batch algorithm(batch-LLDA) in time, while preserving equivalent quality.作者: Interim 時(shí)間: 2025-3-29 09:01 作者: START 時(shí)間: 2025-3-29 14:13
An Online Inference Algorithm for Labeled Latent Dirichlet Allocationpora and text streams. In this paper, we develop an efficient online algorithm for Labeled LDA, called .(online-LLDA). It is based on particle filter, a Sequential Monte Carlo approximation technique. Our experiments show that online-LLDA significantly outperforms batch algorithm(batch-LLDA) in time, while preserving equivalent quality.作者: Euthyroid 時(shí)間: 2025-3-29 17:49
An Ensemble Matchers Based Rank Aggregation Method for Taxonomy Matchingaxonomy matchers and generating an optimal taxonomy mapping. And we introduce TRA, a Threshold Rank Aggregation algorithm for this problem. Experimental results show that TRA outperforms state-of-the-art approaches regardless of domains and scales of taxonomies, which demonstrates that TRA performs good adaptability to taxonomy matching.作者: Cognizance 時(shí)間: 2025-3-29 21:38
Distributed XML Twig Query Processing Using MapReducere no knowledge of query pattern; twig queries can be efficiently processed in a single-round MapReduce job with good scalability. Extensive experiments are conducted to verify the efficiency and scalability of our algorithms.作者: 豐滿中國 時(shí)間: 2025-3-30 01:02 作者: 消毒 時(shí)間: 2025-3-30 06:07
Sentiment Word Identification with Sentiment Contextual Factorsnstead of seed words, we exploit sentiment matching and sentiment consistency for modeling. Extensive experimental studies on three real-world datasets demonstrate that our models outperform the state-of-the-art approaches.作者: abnegate 時(shí)間: 2025-3-30 09:21 作者: CALL 時(shí)間: 2025-3-30 14:36 作者: 攀登 時(shí)間: 2025-3-30 17:29 作者: addict 時(shí)間: 2025-3-31 00:02
0302-9743 ully reviewed and selected from 146 submissions. The papers cover a wide spectrum of Web-related data management problems, and provide a thorough view on the rapid advances of technical solutions..978-3-319-25254-4978-3-319-25255-1Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Missile 時(shí)間: 2025-3-31 01:29
Efficient Location-Dependent Skyline Queries in Wireless Broadcast Environmentson in the broadcast server, and then a novel air data organization scheme is designed in the broadcast disk. At the mobile client end, an energy-efficient . processing algorithm is presented. To demonstrate the efficiency of our solution, extensive experiments are conducted along with detailed performance analysis.作者: noxious 時(shí)間: 2025-3-31 06:34 作者: Ornithologist 時(shí)間: 2025-3-31 11:12 作者: nettle 時(shí)間: 2025-3-31 14:44 作者: 凝結(jié)劑 時(shí)間: 2025-3-31 19:20 作者: Blatant 時(shí)間: 2025-4-1 01:08 作者: 我的巨大 時(shí)間: 2025-4-1 03:11
Sleep Quality Evaluation of Active Microblog Usersscore of each AMU’s sleep quality. In the experiment, we compared the sleep quality of AMUs in different cities of China and found the difference in topics between high and low score groups by LDA method.作者: JUST 時(shí)間: 2025-4-1 07:49
Distance and Friendship: A Distance-Based Model for Link Prediction in Social Networksve link prediction. In addition, we discover that certain periods of the day are more social than others. In the end, we use a machine learning classifier to further improve the prediction performance. Extensive experiments on a Twitter dataset collected by ourselves show that our model outperforms the state-of-the-art solution by 30%.作者: PALMY 時(shí)間: 2025-4-1 12:31 作者: Grasping 時(shí)間: 2025-4-1 15:49 作者: acrophobia 時(shí)間: 2025-4-1 19:23
Hybrid-LSH for Spatio-Textual Similarity Queriesing model to address the fixed range problem of traditional LSH and to handle queries with varying ranges effectively. Extensive experiments conducted on both synthetic and real datasets validate the efficiency of our hybrid LSH method.作者: Generic-Drug 時(shí)間: 2025-4-1 22:45
Sleep Quality Evaluation of Active Microblog Usersscore of each AMU’s sleep quality. In the experiment, we compared the sleep quality of AMUs in different cities of China and found the difference in topics between high and low score groups by LDA method.作者: Encephalitis 時(shí)間: 2025-4-2 04:25 作者: airborne 時(shí)間: 2025-4-2 07:47 作者: Comedienne 時(shí)間: 2025-4-2 15:01
Zhang Yongxin,Li Qingzhong,Wang Dequan,Ding Yanhui,Liu Congli,Yan Zhongmin作者: 向前變橢圓 時(shí)間: 2025-4-2 16:01
Taotao Cai,Rong-Hua Li,Jeffrey Xu Yu,Rui Mao,Yadi Cai作者: Processes 時(shí)間: 2025-4-2 20:41
Yingyuan Xiao,Pengqiang Ai,Hongya Wang,Ching-Hsien Hsu,Wenxiang Cui作者: Mhc-Molecule 時(shí)間: 2025-4-3 02:32
Hailun Lin,Yuanzhuo Wang,Yantao Jia,Jinhua Xiong,Peng Zhang,Xueqi Cheng作者: 不愿 時(shí)間: 2025-4-3 04:20 作者: 恩惠 時(shí)間: 2025-4-3 08:33
Multi-Label Emotion Tagging for Online News by Supervised Topic Modelked multiple emotions of readers. In particular, the model generates a set of latent topics from emotions, followed by generating words from each topic. The experiments on the real dataset from online news service demonstrate the effectiveness of the proposed approach in multi-label emotion tagging 作者: 輕率看法 時(shí)間: 2025-4-3 14:12
