標(biāo)題: Titlebook: Web and Big Data; First International Lei Chen,Christian S. Jensen,Xiang Lian Conference proceedings 2017 Springer International Publishin [打印本頁(yè)] 作者: 生手 時(shí)間: 2025-3-21 16:51
書(shū)目名稱Web and Big Data影響因子(影響力)
書(shū)目名稱Web and Big Data影響因子(影響力)學(xué)科排名
書(shū)目名稱Web and Big Data網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Web and Big Data網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Web and Big Data被引頻次
書(shū)目名稱Web and Big Data被引頻次學(xué)科排名
書(shū)目名稱Web and Big Data年度引用
書(shū)目名稱Web and Big Data年度引用學(xué)科排名
書(shū)目名稱Web and Big Data讀者反饋
書(shū)目名稱Web and Big Data讀者反饋學(xué)科排名
作者: GEON 時(shí)間: 2025-3-21 23:55 作者: 是比賽 時(shí)間: 2025-3-22 02:52 作者: CLAN 時(shí)間: 2025-3-22 06:49
Personalized POI Groups Recommendation in Location-Based Social Networksgree to each PPG covering the target users’ POI preferences. The system recommends the target user with the PPGs which have the top-N largest scores, and it is one NP-hard problem. This paper proposes the greedy algorithm to solve it. Extensive experiments on the two LBSN datasets illustrate the effectiveness of our proposed algorithm.作者: 憤慨一下 時(shí)間: 2025-3-22 11:43
Skyline-Based Recommendation Considering User Preferences are recommended and attribute values in a dense area are quantized into a single value. The result of the experiments suggest that the density-aware scoring provides equal to or greater accuracy than the basic scoring.作者: RADE 時(shí)間: 2025-3-22 13:23 作者: endarterectomy 時(shí)間: 2025-3-22 18:20
Distributed Data Mining for Root Causes of KPI Faults in Wireless Networksinterpretation of the tree model. In order to solve the problem of memory and efficiency associated with large-scale data, we parallelize the algorithm and distribute the tasks to multiple computers. The experiments show that DRCA is an effective, efficient, and scalable method.作者: ADORN 時(shí)間: 2025-3-22 22:27
Distributed Data Mining for Root Causes of KPI Faults in Wireless Networksinterpretation of the tree model. In order to solve the problem of memory and efficiency associated with large-scale data, we parallelize the algorithm and distribute the tasks to multiple computers. The experiments show that DRCA is an effective, efficient, and scalable method.作者: airborne 時(shí)間: 2025-3-23 02:11 作者: AMBI 時(shí)間: 2025-3-23 06:57 作者: 影響 時(shí)間: 2025-3-23 10:02 作者: miscreant 時(shí)間: 2025-3-23 15:36
0302-9743 International Joint Conference, APWeb-WAIM 2017, held in Beijing, China in July 2017...The 44 full papers presented together with 32 short papers and 10 demonstrations papers were carefully reviewed and selected from 240 submissions. The papers are organized around the following topics: spatial data作者: troponins 時(shí)間: 2025-3-23 18:16
Combining Node Identifier Features and Community Priors for Within-Network Classifications of nodes in a partially labeled network. In this paper, we propose a new algorithm called identifier based relational neighbor classifier (IDRN) to solve the within-network multi-label classification problem. We use the node identifiers in the egocentric networks as features and propose a within-n作者: 溫和女孩 時(shí)間: 2025-3-23 23:01
Combining Node Identifier Features and Community Priors for Within-Network Classifications of nodes in a partially labeled network. In this paper, we propose a new algorithm called identifier based relational neighbor classifier (IDRN) to solve the within-network multi-label classification problem. We use the node identifiers in the egocentric networks as features and propose a within-n作者: ALB 時(shí)間: 2025-3-24 05:44
An Active Learning Approach to Recognizing Domain-Specific Queries From Query Logy classification relying on external resources or annotated training queries, we take query log as the only resource for recognizing domain-specific queries. In the proposed approach, we represent query log as a heterogeneous graph and then formulate the task of domain-specific query recognition as 作者: 徹底檢查 時(shí)間: 2025-3-24 10:00
An Active Learning Approach to Recognizing Domain-Specific Queries From Query Logy classification relying on external resources or annotated training queries, we take query log as the only resource for recognizing domain-specific queries. In the proposed approach, we represent query log as a heterogeneous graph and then formulate the task of domain-specific query recognition as 作者: 宣誓書(shū) 時(shí)間: 2025-3-24 13:08 作者: 含糊其辭 時(shí)間: 2025-3-24 18:11 作者: Culmination 時(shí)間: 2025-3-24 22:08 作者: 要塞 時(shí)間: 2025-3-25 01:34
Joint Emoji Classification and Embedding Learningerances with emoji are produced by humans manually in social media platforms every day, which make emoji great influence on the human life. For the academic community, researchers are always with the help of utterances including emoji as annotated data to work on sentiment analysis, yet lack of adeq作者: GRUEL 時(shí)間: 2025-3-25 05:58 作者: N斯巴達(dá)人 時(shí)間: 2025-3-25 08:30 作者: lymphedema 時(shí)間: 2025-3-25 15:01 作者: 繁殖 時(shí)間: 2025-3-25 16:31
Boost Clickbait Detection Based on User Behavior Analysiscrease click-through rate, but decrease user experience. Thus, it is important to identify the articles with a misleading title and block them for specific users. Existing methods just consider text features, which hardly produce a satisfactory result. User behavior is useful in clickbait detection.作者: 含糊其辭 時(shí)間: 2025-3-25 20:46
A Novel Hybrid Friends Recommendation Framework for Twitter recently in the area of social networks analysis as users would like to follow people who have similar interests to them. We use Twitter as a case study and propose a novel hybrid friends recommendation framework that is not only based on friends relationship but also users’ location information, w作者: 匍匐前進(jìn) 時(shí)間: 2025-3-26 03:21 作者: superfluous 時(shí)間: 2025-3-26 06:34 作者: 商店街 時(shí)間: 2025-3-26 10:38
A Time and Sentiment Unification Model for Personalized Recommendationng items. Intuitively, users buying items online are influenced not only by their preferences and public attentions, but also by the crowd sentiment (i.e., the word of mouth) to the items. Specifically, users are likely to refuse an item whose most reviews are negative from the crowd. Therefore, a g作者: 微不足道 時(shí)間: 2025-3-26 14:02 作者: mettlesome 時(shí)間: 2025-3-26 20:25
Personalized POI Groups Recommendation in Location-Based Social Networksnsist of POIs. POI Groups have a significant impact on people’s lives and urban planning. Every person has her/his own personalized POI Groups (PPGs) based on preferences and friendship in location-based social networks (LBSNs). However, there are almost no researches on this aspect in recommendatio作者: 青少年 時(shí)間: 2025-3-27 00:01
Learning Intermediary Category Labels for Personal Recommendationed to be understand relationships between products in order to surface recommendations that are relevant to a given context. Nevertheless, the categories as intermediary are labels for not only attributes of products but also preference characteristics of people, is ignored. Here we propose a framew作者: cognizant 時(shí)間: 2025-3-27 04:43 作者: vitreous-humor 時(shí)間: 2025-3-27 05:31 作者: Eructation 時(shí)間: 2025-3-27 12:14
Skyline-Based Recommendation Considering User Preferencestems, are based not only on user preferences but also cost performance. For these kinds of applications, We first extract items with good cost performance and then identify items that users prefer, which reduce the computational cost of the online process. Based on the results of our preliminary exp作者: 令人心醉 時(shí)間: 2025-3-27 17:34 作者: 多山 時(shí)間: 2025-3-27 18:54 作者: lanugo 時(shí)間: 2025-3-27 22:23
Integrating Feedback-Based Semantic Evidence to Enhance Retrieval Effectiveness for Clinical Decisioven patient records, in order to take the best care of their patients. Most of the existing CDS methods do not sufficiently consider the semantic evidence, hence the potential in improving the performance in biomedical articles retrieval. This paper proposes a novel feedback-based approach which con作者: 繞著哥哥問(wèn) 時(shí)間: 2025-3-28 04:19 作者: 靈敏 時(shí)間: 2025-3-28 07:50
Reordering Transaction Execution to Boost High Frequency Trading Applicationsent advance of portfolio selection in HFT market generates more profit, it yields much contended OLTP workloads. Featuring in exploiting the abundant parallelism, transaction pipeline, the state-of-the-art concurrency control (CC) mechanism, however suffers from limited concurrency confronted with H作者: senile-dementia 時(shí)間: 2025-3-28 12:51
Reordering Transaction Execution to Boost High Frequency Trading Applicationsent advance of portfolio selection in HFT market generates more profit, it yields much contended OLTP workloads. Featuring in exploiting the abundant parallelism, transaction pipeline, the state-of-the-art concurrency control (CC) mechanism, however suffers from limited concurrency confronted with H作者: curettage 時(shí)間: 2025-3-28 17:51 作者: xanthelasma 時(shí)間: 2025-3-28 21:58 作者: curettage 時(shí)間: 2025-3-29 01:07 作者: 脆弱么 時(shí)間: 2025-3-29 04:45
Distributed Data Mining for Root Causes of KPI Faults in Wireless Networksmethods cannot effectively identify the causes of network faults in the face of increasing network data. In this paper, we propose a root-cause-analysis method based on distributed data mining (DRCA). Firstly, we put forward an improved decision tree, where the selection of the best split-feature is作者: Musket 時(shí)間: 2025-3-29 07:13 作者: 谷物 時(shí)間: 2025-3-29 13:11 作者: debunk 時(shí)間: 2025-3-29 17:29
Combining Node Identifier Features and Community Priors for Within-Network Classification. score up?to 14%, 21% and 14% higher than competing methods respectively in sparsely labeled networks. The experiment results show that our approach is quite efficient and suitable for large-scale real-world classification tasks.作者: CANE 時(shí)間: 2025-3-29 21:28 作者: oblique 時(shí)間: 2025-3-29 23:52
An Active Learning Approach to Recognizing Domain-Specific Queries From Query Logned through interactive human supervision. Experimental results demonstrate that the proposed approach is capable of recognizing a certain amount of high-quality domain-specific queries with only a small number of manually annotated queries.作者: 闡釋 時(shí)間: 2025-3-30 06:25 作者: acetylcholine 時(shí)間: 2025-3-30 08:22
Boost Clickbait Detection Based on User Behavior Analysis a classifier to produce an initial clickbait-score for articles. Then, we define a loss function on the user behavior and tune the clickbait score toward decreasing the loss function. Experiment shows that we improve precision and recall after using user behavior.作者: innate 時(shí)間: 2025-3-30 13:55
Boost Clickbait Detection Based on User Behavior Analysis a classifier to produce an initial clickbait-score for articles. Then, we define a loss function on the user behavior and tune the clickbait score toward decreasing the loss function. Experiment shows that we improve precision and recall after using user behavior.作者: uveitis 時(shí)間: 2025-3-30 16:53 作者: rectum 時(shí)間: 2025-3-30 21:01 作者: freight 時(shí)間: 2025-3-31 03:03
Improving Topic Diversity in Recommendation Lists: Marginally or Proportionally?modular function maximization and proportionality respectively. Experimental results on MovieLens and FilmTrust datasets demonstrate that our approach outperforms state-of-the-art techniques in terms of distributional diversity.作者: Comedienne 時(shí)間: 2025-3-31 07:41
Improving Topic Diversity in Recommendation Lists: Marginally or Proportionally?modular function maximization and proportionality respectively. Experimental results on MovieLens and FilmTrust datasets demonstrate that our approach outperforms state-of-the-art techniques in terms of distributional diversity.作者: 導(dǎo)師 時(shí)間: 2025-3-31 12:22 作者: 茁壯成長(zhǎng) 時(shí)間: 2025-3-31 14:15 作者: Chivalrous 時(shí)間: 2025-3-31 19:27
Event2vec: Learning Representations of Events on Temporal SequencesFinally, we feed these data to embedding neural network to get learned vectors. Experiments on real temporal event sequence data in medical area demonstrate the effectiveness and efficiency of the proposed method. The procedure is totally unsupervised without the help of expert knowledge. Thus can b作者: 代替 時(shí)間: 2025-4-1 00:52
Event2vec: Learning Representations of Events on Temporal SequencesFinally, we feed these data to embedding neural network to get learned vectors. Experiments on real temporal event sequence data in medical area demonstrate the effectiveness and efficiency of the proposed method. The procedure is totally unsupervised without the help of expert knowledge. Thus can b作者: GAVEL 時(shí)間: 2025-4-1 05:11 作者: Fabric 時(shí)間: 2025-4-1 06:47 作者: interrogate 時(shí)間: 2025-4-1 10:46 作者: 厭食癥 時(shí)間: 2025-4-1 17:19 作者: Narrative 時(shí)間: 2025-4-1 19:03 作者: IOTA 時(shí)間: 2025-4-2 01:21 作者: Peristalsis 時(shí)間: 2025-4-2 02:51
Reordering Transaction Execution to Boost High Frequency Trading Applicationsntention. In concrete, two mechanisms are devised to ensure the correctness of statement rearrangement and identify the degrees of contention of statements respectively. Experiment results show that PARE can improve transaction throughput and reduce transaction latency on HFT applications by up?to a作者: 勤勉 時(shí)間: 2025-4-2 07:07
Reordering Transaction Execution to Boost High Frequency Trading Applicationsntention. In concrete, two mechanisms are devised to ensure the correctness of statement rearrangement and identify the degrees of contention of statements respectively. Experiment results show that PARE can improve transaction throughput and reduce transaction latency on HFT applications by up?to a作者: 熒光 時(shí)間: 2025-4-2 12:55 作者: colony 時(shí)間: 2025-4-2 17:42 作者: insolence 時(shí)間: 2025-4-2 23:30 作者: 煉油廠 時(shí)間: 2025-4-3 01:55
Qi Ye,Changlei Zhu,Gang Li,Feng Wangogy suitable for ‘future‘ IC design styles, 2. capable of handling improved defect models, 3. supported by software tools, and 4. providing an easy link to Automatic Test Equipment. The reasoning we have followed was continuously focused on IC qUality. Quality expressed in terms of the ability of de作者: 鴕鳥(niǎo) 時(shí)間: 2025-4-3 07:22
Qi Ye,Changlei Zhu,Gang Li,Feng Wang the experimental technologies from the local small-scale research testbeds with the commercial MNO resources such as licensed spectrum. The combined resources are configured and managed through the distributed EuWireless architecture based on inter-connected local installations, so-called Points of Presences (PoP).作者: somnambulism 時(shí)間: 2025-4-3 08:36
Shenda Hong,Meng Wu,Hongyan Li,Zhengwu WuWestfalen gew?hrte Forschungsbeihilfe. An der Durchführung der Untersuchungen im Laboratorium und im praktischen Betrieb sowie an der Auswertung der Ergebnisse haben mitgewirkt: Text.-Ing. A. ERKENS, Dipl.-Phys. S. HOBE, Text.-Ing. H. v. D. WEYDEN. Zu danken ist in diesem Zusammenhang auch den Firmen und den 978-3-663-03928-0978-3-663-05117-6作者: 砍伐 時(shí)間: 2025-4-3 12:53
Xiang Li,Rui Yan,Ming Zhange editors are very grateful to Dr. Cavallo of Palermo for the major part which he has played in preparing the index. M. Pavone-Macaluso P.H. Smith M.A. Bagshaw v CONTENTS I TUMORS OF THE TESTIS CLASSIFICATION, PATHOLOGY, AETIOLOGY, RESEARCH Pre-treatment Classification of Tumors of the Testis 1 G. Pizzocaro, 978-1-4612-9490-0978-1-4613-2453-9
