標題: Titlebook: Database Systems for Advanced Applications; 22nd International C Sel?uk Candan,Lei Chen,Wen Hua Conference proceedings 2017 Springer Intern [打印本頁] 作者: obsess 時間: 2025-3-21 18:20
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讀者反饋學科排名
作者: 隼鷹 時間: 2025-3-21 23:03
Learning the Structures of Online Asynchronous Conversations online via instant messaging applications on personal computers or mobile devices. Since these conversations are sequentially organized, which fails to show the logical relations between messages, they are called asynchronous conversations in previous studies. Unfortunately, the sequential layouts 作者: 女上癮 時間: 2025-3-22 03:11
A Question Routing Technique Using Deep Neural Network for Communities of Question Answering asked by their users. Although CQA frameworks receive new questions in a linear rate, the rate of the unanswered questions increases in an exponential way. This variation eventually compromise effectiveness of the CQA frameworks as knowledge sharing platforms. The main cause for this challenge is t作者: APEX 時間: 2025-3-22 06:51 作者: enmesh 時間: 2025-3-22 11:51 作者: legislate 時間: 2025-3-22 13:34 作者: legislate 時間: 2025-3-22 20:47 作者: 糾纏 時間: 2025-3-23 01:01
An Adaptive Data Partitioning Scheme for Accelerating Exploratory Spark SQL Queries next queries. Thus, data used in the previous queries are often reused, at least in part, in the next queries. This fact may be used to accelerate queries with data partitioning, a widely used technique that enables skipping the irrelevant data for better I/O performance. For getting effective part作者: tic-douloureux 時間: 2025-3-23 03:58
Semi-Supervised Network Embeddingachine learning tasks such as node classification, link prediction, and social recommendation. Current popular network embedding methods normally first transform the network into a set of node sequences, and then input them into an unsupervised feature learning model to generate a distributed repres作者: 斜 時間: 2025-3-23 06:23
CirE: Circular Embeddings of Knowledge Graphscontinuous vector spaces and then constructs . triples. However, KG embedding models are sensitive to infrequent and uncertain objects. Furthermore, there is a contradiction between learning ability and learning cost. To this end, we propose circular embeddings (CirE) to learn representations of ent作者: 保留 時間: 2025-3-23 13:40
PPNE: Property Preserving Network Embeddingant task in the network analysis area. Most existing embedding methods focus on encoding the topology information into the representation vectors. In reality, nodes in the network may contain rich properties, which could potentially contribute to learn better representations. In this paper, we study作者: 消散 時間: 2025-3-23 15:45 作者: 1FAWN 時間: 2025-3-23 20:41 作者: athlete’s-foot 時間: 2025-3-23 23:50 作者: Vertebra 時間: 2025-3-24 03:54
Outlier Trajectory Detection: A Trajectory Analytics Based Approach human behaviors. In this paper, we aim to understand historical trajectory data for discovering outlier trajectories of taxis. An outlier trajectory is a trajectory grossly different from others, meaning there are few or even no trajectories following a similar route in a dataset. To identify outli作者: Juvenile 時間: 2025-3-24 06:56 作者: 防御 時間: 2025-3-24 11:37
Richard D. Wolff,Anwar M. Shaikhthe correctness matrix to learn the patterns. Then PTD conducts the answer aggregation by incorporating captured patterns, producing a more accurate estimation. Therefore, our approach is compatible with all tasks and can better demonstrate the correlation among tasks and sources. Experimental resul作者: Provenance 時間: 2025-3-24 17:41 作者: 不怕任性 時間: 2025-3-24 21:35 作者: 從屬 時間: 2025-3-25 01:11 作者: 模范 時間: 2025-3-25 05:30
Research Synthesis in Software Engineeringwhich can provide a good load balancing for query processing by using . to capture data distribution. Analysis of theoretical and experimental results on standard benchmark illustrate the efficacy of the proposed methods in a distributed environment.作者: Anticlimax 時間: 2025-3-25 08:50
Can There Be Religion Without Gender?fective to incorporate the annotation data to learn better representation vectors. In this paper, we propose an order sensitive semi-supervised framework for network embedding. Specifically, we first propose an novel order sensitive network embedding method: StructuredNE to integrate node order info作者: 手工藝品 時間: 2025-3-25 13:27 作者: Exaggerate 時間: 2025-3-25 18:23
Catrien Notermans,Maya Turolla,Willy Jansen algorithm, we can obtain representation vectors incorporating both network topology and node property information. We extensively evaluate our framework through two data mining tasks on five datasets. Experimental results show the superior performance of PPNE.作者: Vertebra 時間: 2025-3-25 22:02
A General Fine-Grained Truth Discovery Approach for Crowdsourced Data Aggregationthe correctness matrix to learn the patterns. Then PTD conducts the answer aggregation by incorporating captured patterns, producing a more accurate estimation. Therefore, our approach is compatible with all tasks and can better demonstrate the correlation among tasks and sources. Experimental resul作者: 陳列 時間: 2025-3-26 00:48 作者: 詞匯表 時間: 2025-3-26 05:06
Category-Level Transfer Learning from Knowledge Base to Microblog Stream for Accurate Event Detectio) Events are detected accurately on category-level word time series, due to richer semantics and less noise. (4) Experiment verifies the quality of category-level topics extracted from knowledge base, and the further study on the benchmark . validates the effectiveness of our proposed transfer learn作者: indoctrinate 時間: 2025-3-26 09:47
AngleCut: A Ring-Based Hashing Scheme for Distributed Metadata Managementata cache mechanism is also adopted in AngleCut to improve the query efficiency. In general, our scheme preserves the metadata locality essentially as well as maintaining high load balancing between MDS’s. The theoretical proof and extensive experiments on trace data exhibit the superiority of Angle作者: allergen 時間: 2025-3-26 13:54
An Efficient Bulk Loading Approach of Secondary Index in Distributed Log-Structured Data Storeswhich can provide a good load balancing for query processing by using . to capture data distribution. Analysis of theoretical and experimental results on standard benchmark illustrate the efficacy of the proposed methods in a distributed environment.作者: 侵蝕 時間: 2025-3-26 18:36
Semi-Supervised Network Embeddingfective to incorporate the annotation data to learn better representation vectors. In this paper, we propose an order sensitive semi-supervised framework for network embedding. Specifically, we first propose an novel order sensitive network embedding method: StructuredNE to integrate node order info作者: 迅速成長 時間: 2025-3-27 01:01
CirE: Circular Embeddings of Knowledge Graphsreduce training time through adaptive parameters update algorithm which dynamically changes learning time for various objects. (4) We speed up the computation and enhance scalability by fast Fourier transform (FFT). Extensive experiments show that CirE outperforms state-of-the-art baselines in link 作者: Ventilator 時間: 2025-3-27 04:36
PPNE: Property Preserving Network Embedding algorithm, we can obtain representation vectors incorporating both network topology and node property information. We extensively evaluate our framework through two data mining tasks on five datasets. Experimental results show the superior performance of PPNE.作者: facetious 時間: 2025-3-27 07:18 作者: chronology 時間: 2025-3-27 12:41
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/d/image/263428.jpg作者: 倔強不能 時間: 2025-3-27 17:30 作者: 培養(yǎng) 時間: 2025-3-27 20:45
Richard D. Wolff,Anwar M. Shaikhwhich makes aggregating them to infer ground truth a critical challenge. Existing fine-grained truth discovery methods solve this problem by exploring the correlation between source reliability and task topics or answers. However, they can only work on limited tasks, which results in the incompatibi作者: 不能根除 時間: 2025-3-27 23:37 作者: 過時 時間: 2025-3-28 05:32 作者: 束縛 時間: 2025-3-28 06:44 作者: 嬉耍 時間: 2025-3-28 14:15 作者: Paraplegia 時間: 2025-3-28 16:11
Research Synthesis in Software Engineeringata stores is a popular solution. And bulk loading of secondary index is inevitable when a new application is developed on an existing LSM data stores. However, to the best of our knowledge there are few studies on research of bulk loading of secondary index in distributed LSM-tree. In this paper, w作者: 預(yù)兆好 時間: 2025-3-28 20:09 作者: HEAVY 時間: 2025-3-29 00:57
https://doi.org/10.1007/978-3-319-42598-6 next queries. Thus, data used in the previous queries are often reused, at least in part, in the next queries. This fact may be used to accelerate queries with data partitioning, a widely used technique that enables skipping the irrelevant data for better I/O performance. For getting effective part作者: Plaque 時間: 2025-3-29 04:52 作者: 破譯密碼 時間: 2025-3-29 08:27 作者: 落葉劑 時間: 2025-3-29 15:13
Catrien Notermans,Maya Turolla,Willy Jansenant task in the network analysis area. Most existing embedding methods focus on encoding the topology information into the representation vectors. In reality, nodes in the network may contain rich properties, which could potentially contribute to learn better representations. In this paper, we study作者: BRAND 時間: 2025-3-29 16:02 作者: 權(quán)宜之計 時間: 2025-3-29 22:24 作者: CHIDE 時間: 2025-3-30 03:05
Entrepreneurship and Hybrid Self-Employment full length time series. However, for long time series, similarity search on arbitrary time windows is more attractive and important. In this paper, we address the problem of window-based KNN search of time series data on HBase. Based on PAA approximation, we propose a composite index structure com作者: 沒收 時間: 2025-3-30 07:13
Marcus Box,Xiang Lin,Karl Gratzer human behaviors. In this paper, we aim to understand historical trajectory data for discovering outlier trajectories of taxis. An outlier trajectory is a trajectory grossly different from others, meaning there are few or even no trajectories following a similar route in a dataset. To identify outli作者: champaign 時間: 2025-3-30 10:06
https://doi.org/10.1007/978-3-319-55753-3big data; cloud computing; data mining; machine learning; recommender systems; algorithms; classification; 作者: FOR 時間: 2025-3-30 16:27 作者: 虛弱的神經(jīng) 時間: 2025-3-30 17:28
Conference proceedings 2017dation; security, privacy, senor and cloud; social network analytics; map matching and spatial keywords; query processing and optimization; search and information retrieval; string and sequence processing; stream date processing; graph and network data processing; spatial databases; real time data processing; big data; social networks and graphs..作者: 不出名 時間: 2025-3-30 20:56
The Single Currency: Prospects and Problemsristic method is also brought forward to predict the relation, and then recover the conversation structure. We demonstrate the effectiveness of the proposed method through experiments on a real-world web forum comment data set.作者: 小口啜飲 時間: 2025-3-31 03:10
Bruno Cartaxo,Gustavo Pinto,Sergio Soaresirtualization methods, block sizes and node numbers. Our results show that, in terms of the distributed big data processing performance, Docker-based virtual cluster is usually faster than Xen-based virtual cluster, but there exist some cases where Xen is faster than Docker according to the parameters, such as block size and virtual node numbers.作者: Insatiable 時間: 2025-3-31 07:56 作者: Coordinate 時間: 2025-3-31 11:14
Can There Be Religion Without Gender?tics via a Markov Random Field (MRF) to impact the embedding vectors. By doing so, . is capable to capture both local and global semantic information in the embedding vectors. Experimental results show that HINE significantly outperforms state-of-the-art methods.
