派博傳思國(guó)際中心

標(biāo)題: Titlebook: Web-Age Information Management; WAIM 2016 Internatio Shaoxu Song,Yongxin Tong Conference proceedings 2016 Springer International Publishing [打印本頁(yè)]

作者: audiogram    時(shí)間: 2025-3-21 17:25
書目名稱Web-Age Information Management影響因子(影響力)




書目名稱Web-Age Information Management影響因子(影響力)學(xué)科排名




書目名稱Web-Age Information Management網(wǎng)絡(luò)公開度




書目名稱Web-Age Information Management網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Web-Age Information Management被引頻次




書目名稱Web-Age Information Management被引頻次學(xué)科排名




書目名稱Web-Age Information Management年度引用




書目名稱Web-Age Information Management年度引用學(xué)科排名




書目名稱Web-Age Information Management讀者反饋




書目名稱Web-Age Information Management讀者反饋學(xué)科排名





作者: 手榴彈    時(shí)間: 2025-3-21 22:44

作者: Minikin    時(shí)間: 2025-3-22 01:42

作者: Dictation    時(shí)間: 2025-3-22 07:00

作者: Thyroid-Gland    時(shí)間: 2025-3-22 11:19

作者: 百靈鳥    時(shí)間: 2025-3-22 16:47

作者: deforestation    時(shí)間: 2025-3-22 18:42

作者: 原來(lái)    時(shí)間: 2025-3-22 22:54

作者: arbovirus    時(shí)間: 2025-3-23 03:40
Meirun Chen,Yi Yangthesis approach has been described, based on optimizing the area consumption of the resulting implementation, subject to constraints on the finite precision errors..Two special cases have been dealt with in detail: linear time-invariant systems, and nonlinear systems containing only differentiable n
作者: 使迷惑    時(shí)間: 2025-3-23 05:34

作者: MEAN    時(shí)間: 2025-3-23 10:47

作者: 大都市    時(shí)間: 2025-3-23 15:20

作者: 浮雕寶石    時(shí)間: 2025-3-23 21:27

作者: quiet-sleep    時(shí)間: 2025-3-24 00:16

作者: ungainly    時(shí)間: 2025-3-24 05:47
Caihong Li,Zhaoshuang He,Yachen Wanghines (FSMs). The first volume, .Synthesis of FiniteState Machines:. .Functional Optimization., addresses functionaloptimization, whereas this one addresses logic optimization. Theresult of functional optimization is a symbolic description of an FSMwhich represents a sequential function chosen from
作者: Tonometry    時(shí)間: 2025-3-24 07:44
Songrui Tian,Ling Ou of marine natural products and they represent the effort of a single author and his associates. The rationale for these departures is readily perceived. For several decades organic synthesis has without doubt been the most spectacular branch of organic chemistry. While the late R.B. Woodward‘s dict
作者: Ingredient    時(shí)間: 2025-3-24 12:44
Shanglian Peng,Jia Hef marine natural products and they represent the effort of a single author and his associates. The rationale for these departures is readily perceived. For several decades organic synthesis has without doubt been the most spectacular branch of organic chemistry. While the late R.B. Woodward‘s dictum
作者: 背心    時(shí)間: 2025-3-24 16:42
Rong Xie,Ming Huanggn of the geometric topology for the network of wires that connect the various power supplies, the widths of the indi- vidual segments for each of these wires, the number and location of the power I/O pins around the periphery of the chip --was simple because the chips were simpler. Few available wi
作者: Inertia    時(shí)間: 2025-3-24 20:44
er compares piston and turbo-engines and their principal applications. The second chapter presents a survey of the characteristics, possible applications and performance of piston engines with a power rating of up to about 500. h.p. Various engine configurations are discussed and a generalized metho
作者: Mercantile    時(shí)間: 2025-3-25 01:59
Qi Shang,Jianyi Guo,Yantuan Xian,Zhengtao Yu,Yonghua Wenks were generated below or within the brittle- ductile transition zone and later (following uplift?) transported northwestward along the brittle Moine Thrust. Deformation in the underlying foreland sequence took place in classic thin-skinned style, with some additional penetrative strain, producing
作者: Commission    時(shí)間: 2025-3-25 06:49

作者: FILTH    時(shí)間: 2025-3-25 10:57
Qi Shang,Jianyi Guo,Yantuan Xian,Zhengtao Yu,Yonghua Wenntropic character of rubber elasticity. That is, the restoring force acting on a piece of stretched rubber is primarily due to its change in entropy, rather than to its change in internal energy. This was established by the work of Kelvin. and Joule. in the middle of the last century. After the natu
作者: 庇護(hù)    時(shí)間: 2025-3-25 12:12

作者: pus840    時(shí)間: 2025-3-25 16:21

作者: 發(fā)電機(jī)    時(shí)間: 2025-3-25 21:59

作者: OVER    時(shí)間: 2025-3-26 00:37

作者: strdulate    時(shí)間: 2025-3-26 06:26

作者: 空洞    時(shí)間: 2025-3-26 12:08
Xing Xu,Jianzhong Wang,Haoran Wangthe cardiovascular system are both important and challenging. Most of the effort to date in this area has been focused on blood vessel substitutes. This focus is motivated by the one-half million coronary artery bypass surgeries performed in the United States each year, with this figure having more
作者: Isometric    時(shí)間: 2025-3-26 14:27
Yuan Liang,Haogang Zhu,Xiao Chen the future of science, industry, humanity and the global environment. It explores how people, including academics, students, industrialists and governance actors, tried to change their practices to bring engineering and biology together, and to realise such promises from within their everyday lives
作者: Cervical-Spine    時(shí)間: 2025-3-26 18:12

作者: Aggregate    時(shí)間: 2025-3-27 00:00

作者: Pert敏捷    時(shí)間: 2025-3-27 01:54
0302-9743 otemporal Data Management and Mining for the Web (SDMMW 2016)..? The International Workshop on Semi-structured Big Data Management and Applications (SemiBDMA 2016)...? The International Workshop on Mobile Web Data Analytics (MWDA2016).978-3-319-47120-4978-3-319-47121-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
作者: acetylcholine    時(shí)間: 2025-3-27 06:06
Modeling User Preference from Rating Data Based on the Bayesian Network with a Latent Variablent variable to describe user preference and Bayesian network (BN) with a latent variable as the framework for representing the relationships among the observed and the latent variables, and define user preference BN (abbreviated as UPBN). To construct UPBN effectively, we first give the property and
作者: 暗語(yǔ)    時(shí)間: 2025-3-27 13:11
A Hybrid Approach for Sparse Data Classification Based on Topic Modelfforts have been devoted to improve the efficiency of normal text classification. However, it is still immature in terms of high-dimension and sparse data processing. In this paper, we present a new method which fancifully utilizes Biterm Topic Model (BTM) and Support Vector Machine (SVM). By using
作者: 沉默    時(shí)間: 2025-3-27 14:27
Human Activity Recognition in a Smart Home Environment with Stacked Denoising Autoencodersent nature of human activities is characterized by a high degree of complexity and uncertainty, it poses a great challenge to build a robust activity recognition model. This study aims to exploit deep learning techniques to learn high-level features from the binary sensor data under the assumption t
作者: Critical    時(shí)間: 2025-3-27 17:55
Modeling User Preference from Rating Data Based on the Bayesian Network with a Latent Variablent variable to describe user preference and Bayesian network (BN) with a latent variable as the framework for representing the relationships among the observed and the latent variables, and define user preference BN (abbreviated as UPBN). To construct UPBN effectively, we first give the property and
作者: opportune    時(shí)間: 2025-3-28 01:15
Ranking Online Services by Aggregating Ordinal Preferencesnking mechanism is an important service for e-commerce that facilitates consumers’ decision-making process. Traditional services ranking methods ignore the fact that customers cannot rate services under the same criteria, which leads to the ratings are actually incomparable. In this paper, we propos
作者: 貧困    時(shí)間: 2025-3-28 02:11

作者: jaunty    時(shí)間: 2025-3-28 09:16
DroidDelver: An Android Malware Detection System Using Deep Belief Network Based on API Call Blocksmportant topic in cyber security. Currently, the major defense against Android malware is commercial mobile security products which mainly use signature-based method for detection. However, attackers can easily devise methods, such as obfuscation and repackaging, to evade the detection, which calls
作者: 有花    時(shí)間: 2025-3-28 13:10
Human Activity Recognition in a Smart Home Environment with Stacked Denoising Autoencodersent nature of human activities is characterized by a high degree of complexity and uncertainty, it poses a great challenge to build a robust activity recognition model. This study aims to exploit deep learning techniques to learn high-level features from the binary sensor data under the assumption t
作者: 充滿裝飾    時(shí)間: 2025-3-28 18:08

作者: 枯燥    時(shí)間: 2025-3-28 21:51

作者: ORBIT    時(shí)間: 2025-3-28 23:05

作者: ALOFT    時(shí)間: 2025-3-29 04:42
DroidDelver: An Android Malware Detection System Using Deep Belief Network Based on API Call Blocksmportant topic in cyber security. Currently, the major defense against Android malware is commercial mobile security products which mainly use signature-based method for detection. However, attackers can easily devise methods, such as obfuscation and repackaging, to evade the detection, which calls
作者: HUSH    時(shí)間: 2025-3-29 07:15

作者: aerobic    時(shí)間: 2025-3-29 12:37

作者: 棲息地    時(shí)間: 2025-3-29 17:55

作者: Parabola    時(shí)間: 2025-3-29 20:47

作者: Palter    時(shí)間: 2025-3-30 00:08
A Combined Model Based on Neural Networks, LSSVM and Weight Coefficients Optimization for Short-Termecasting (STLF) which is regarded as a vital tool helps electric power companies make good decisions. It can not only guarantee adequate energy supply but also avoid unnecessary wastes. Although there exists quantity of forecasting methods, most of them are not able to make accurate predictions. The
作者: congenial    時(shí)間: 2025-3-30 04:16

作者: enormous    時(shí)間: 2025-3-30 08:58

作者: Tincture    時(shí)間: 2025-3-30 15:19

作者: 競(jìng)選運(yùn)動(dòng)    時(shí)間: 2025-3-30 16:32
A Combined Model Based on Neural Networks, LSSVM and Weight Coefficients Optimization for Short-Termecasting (STLF) which is regarded as a vital tool helps electric power companies make good decisions. It can not only guarantee adequate energy supply but also avoid unnecessary wastes. Although there exists quantity of forecasting methods, most of them are not able to make accurate predictions. The
作者: 四指套    時(shí)間: 2025-3-30 21:02
Using Convex Combination Kernel Function to Extract Entity Relation in Specific Fieldd kernel functions, this paper presents a method of finding the optimal convex combination kernel function, which is comprised of multiple kernel functions and needs to be optimized. After preprocessing the corpus and selecting features including lexical information, phrases syntax information and d
作者: nominal    時(shí)間: 2025-3-31 03:30

作者: Pamphlet    時(shí)間: 2025-3-31 05:19

作者: Basilar-Artery    時(shí)間: 2025-3-31 11:36
Using Convex Combination Kernel Function to Extract Entity Relation in Specific Fieldd kernel functions, this paper presents a method of finding the optimal convex combination kernel function, which is comprised of multiple kernel functions and needs to be optimized. After preprocessing the corpus and selecting features including lexical information, phrases syntax information and d
作者: Inferior    時(shí)間: 2025-3-31 15:30

作者: Felicitous    時(shí)間: 2025-3-31 18:20
A Novel Method of Influence Ranking via Node Degree and H-index for Community Detection methods of evaluating influential nodes such as degree centrality ignore the location of a node and its neighbors’ influence in networks, while this plays an important role in revealing the node’s local influence in spreading information. In this paper, we propose a novel method, named DH-index (no
作者: 開花期女    時(shí)間: 2025-3-31 22:39
How Surfing Habits Affect Academic Performance: An Experimental Studyf research communities. The approaches of statistical analysis and data mining with imperfect datasets are used in previous works. In this paper, an experimental study about the relationships between surfing habits and academic performance is conducted. Particularly, we observe a surprising results
作者: 打包    時(shí)間: 2025-4-1 01:54
Efficient and Load Balancing Strategy for Task Scheduling in Spatial Crowdsourcinga set of spatial tasks tagged with location and time for workers according to their location. In most cases, existing approaches usually take the matching algorithm as a fundamental step to solve this problem which aims to maximize the number of completed tasks. However, in the present of many spati
作者: 離開可分裂    時(shí)間: 2025-4-1 07:39
Preference-Aware Top-k Spatio-Textual Queries-textual objects ranked according to the warefare of the facilities in conditional range. Suppose a tourist that looks for motels that have nearby a highly rated Japanese restaurant that serves sushi. The proposed query considers not only the spatial location and textual description of spatial-textu
作者: 小母馬    時(shí)間: 2025-4-1 13:21

作者: noxious    時(shí)間: 2025-4-1 14:39
Result Diversification in Event-Based Social Networksent-based social networks (EBSNs), search result diversification in an event that covers as many user intents as possible. Most existing result diversification algorithms recognize an user may search for information by issuing the different query as much as possible. In this paper, we leverage many
作者: 該得    時(shí)間: 2025-4-1 20:54
Preference-Aware Top-k Spatio-Textual Queries-textual objects ranked according to the warefare of the facilities in conditional range. Suppose a tourist that looks for motels that have nearby a highly rated Japanese restaurant that serves sushi. The proposed query considers not only the spatial location and textual description of spatial-textu
作者: 使成整體    時(shí)間: 2025-4-1 22:45
Result Diversification in Event-Based Social Networksent-based social networks (EBSNs), search result diversification in an event that covers as many user intents as possible. Most existing result diversification algorithms recognize an user may search for information by issuing the different query as much as possible. In this paper, we leverage many
作者: TRUST    時(shí)間: 2025-4-2 04:04
Conference proceedings 2016 Nanchang, China, in June 2016.The three workshops were as follows:. .? The International Workshop on Spatiotemporal Data Management and Mining for the Web (SDMMW 2016)..? The International Workshop on Semi-structured Big Data Management and Applications (SemiBDMA 2016)...? The International Worksho
作者: Alpha-Cells    時(shí)間: 2025-4-2 08:44
An Improved Slope One Algorithm Combining KNN Method Weighted by User Similarityrs is calculated and added on the fly. Experiments on the MovieLens data set show that the proposed algorithm can achieve better recommendation quality and prediction accuracy. Besides, the stability of the algorithm is also relatively satisfying.
作者: parallelism    時(shí)間: 2025-4-2 11:13

作者: Expurgate    時(shí)間: 2025-4-2 18:10
Using Convex Combination Kernel Function to Extract Entity Relation in Specific Fieldthe feature matrix to different high-dimensional matrix, and the different classification models can be obtained. The experiments are conducted on the domain dataset from Web and the experimental results show that our approach outperforms state-of-the-art learning models such as ME or Convolution tree kernel.
作者: 山崩    時(shí)間: 2025-4-2 22:16

作者: 吹氣    時(shí)間: 2025-4-3 02:05

作者: 閃光東本    時(shí)間: 2025-4-3 07:42
Efficient and Load Balancing Strategy for Task Scheduling in Spatial Crowdsourcing this paper, we study the problem of load balancing based task scheduling for multiple workers. We present fast and effective approximate algorithms for task scheduling problem. With both real and synthetic datasets, we verify the effectiveness of our proposed methods.
作者: fodlder    時(shí)間: 2025-4-3 10:38
A Novel Method of Influence Ranking via Node Degree and H-index for Community Detectionindex based label propagation algorithm (DH_LPA) for community detection. We demonstrate its validity and feasibility on a set of real-world and synthetic networks for our new proposed community detection method.
作者: Adrenaline    時(shí)間: 2025-4-3 15:36
Efficient and Load Balancing Strategy for Task Scheduling in Spatial Crowdsourcing this paper, we study the problem of load balancing based task scheduling for multiple workers. We present fast and effective approximate algorithms for task scheduling problem. With both real and synthetic datasets, we verify the effectiveness of our proposed methods.




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