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標(biāo)題: Titlebook: Biomedical Data Management and Graph Online Querying; VLDB 2015 Workshops, Fusheng Wang,Gang Luo,Cong Yu Conference proceedings 2016 Spring [打印本頁(yè)]

作者: 里程表    時(shí)間: 2025-3-21 20:03
書(shū)目名稱(chēng)Biomedical Data Management and Graph Online Querying影響因子(影響力)




書(shū)目名稱(chēng)Biomedical Data Management and Graph Online Querying影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Biomedical Data Management and Graph Online Querying網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Biomedical Data Management and Graph Online Querying網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Biomedical Data Management and Graph Online Querying被引頻次




書(shū)目名稱(chēng)Biomedical Data Management and Graph Online Querying被引頻次學(xué)科排名




書(shū)目名稱(chēng)Biomedical Data Management and Graph Online Querying年度引用




書(shū)目名稱(chēng)Biomedical Data Management and Graph Online Querying年度引用學(xué)科排名




書(shū)目名稱(chēng)Biomedical Data Management and Graph Online Querying讀者反饋




書(shū)目名稱(chēng)Biomedical Data Management and Graph Online Querying讀者反饋學(xué)科排名





作者: 合群    時(shí)間: 2025-3-22 00:16

作者: Forsake    時(shí)間: 2025-3-22 00:48
LUCAS Associative Array Processorare, essentially, small segments of the terminology graphs. Compositional expressions add logical and linguistic relations to the standard technique of post-coordination. In indexing medical text, many instances of compositional expressions must be stored, and in performing retrieval on that index,
作者: conjunctivitis    時(shí)間: 2025-3-22 08:11
Conclusions and continued research, algorithms, we have implemented an innovative two-layer multiplex network of human diseases. Specifically, we extract the International Classification of Diseases, Ninth Revision (ICD9) codes from an Electronic Medical Records (EMRs) database to build our map of human diseases. In the lower layer,
作者: 做事過(guò)頭    時(shí)間: 2025-3-22 09:26

作者: Geyser    時(shí)間: 2025-3-22 13:37
LUCAS Associative Array Processores. The availability and scalability of cloud resources along with techniques for caching and distributed computation can be used to address these problems, but bring up new optimization challenges, often with competing concerns. A user wants a quick response using minimal device resources, while a
作者: 隼鷹    時(shí)間: 2025-3-22 20:24

作者: 社團(tuán)    時(shí)間: 2025-3-22 21:12

作者: 騷擾    時(shí)間: 2025-3-23 03:59
Parallel and associative processing,xisting analytic approaches, however, require expert hand-digitization to extract parameters of interest. This produces repeatable measurements, but remains subjective and does not offer information on the precision of the measured parameters or strict reproducibility of analyzed data. We developed
作者: Inertia    時(shí)間: 2025-3-23 06:46
LUCAS Associative Array Processorlts, and facilitate algorithm sensitivity studies. The sizes of images and analysis results in pathology image analysis pose significant challenges in algorithm evaluation. We present SparkGIS, a distributed, in-memory spatial data processing framework to query, retrieve, and compare large volumes o
作者: 易受騙    時(shí)間: 2025-3-23 10:38

作者: 愛(ài)了嗎    時(shí)間: 2025-3-23 15:01

作者: 序曲    時(shí)間: 2025-3-23 22:02
Infrared Spectroscopy and Polymer Structurestatic graph captures information about the connectedness of vertices at a certain point in time, a . keeps track of every data manipulation—insertion and removal of a vertex or an edge—performed on the graph and allows detecting topological changes, such as cluster growth and subgraph densification
作者: Lament    時(shí)間: 2025-3-24 00:36
Infrared Spectroscopy and Polymer Structuremore important. Subgraph isomorphism queries, one of the fundamental graph query types, rely on an accurate cardinality estimation of a single edge of a pattern for efficient query processing. State of the art approaches do not consider two important aspects for cardinality estimation of graph queri
作者: 激怒    時(shí)間: 2025-3-24 06:12

作者: Accrue    時(shí)間: 2025-3-24 09:10

作者: Slit-Lamp    時(shí)間: 2025-3-24 11:30

作者: Heart-Rate    時(shí)間: 2025-3-24 18:16
978-3-319-41575-8Springer International Publishing Switzerland 2016
作者: Glucose    時(shí)間: 2025-3-24 22:42

作者: Insubordinate    時(shí)間: 2025-3-24 23:45
0302-9743 rying, Big-O(Q) 2015, and Data Management and Analytics for Medicine and Healthcare, DMAH 2015, held at Waikoloa, Hawaii, USA on August 31 and September 4, 2015, in conjunction with the 41st International Conference on Very Large Data Bases, VLDB 2015. . The 9 revised full papers presented together
作者: 雄偉    時(shí)間: 2025-3-25 03:25
0302-9743 ctions on information retrieval and data analytics for electronic medical records; data management and visualization of medical data; biomedical data sharing and integration; medical imaging analytics; and big-graphs online querying..978-3-319-41575-8978-3-319-41576-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
作者: animated    時(shí)間: 2025-3-25 08:55

作者: 表皮    時(shí)間: 2025-3-25 13:13

作者: gerrymander    時(shí)間: 2025-3-25 18:05

作者: 遍及    時(shí)間: 2025-3-25 21:18

作者: 報(bào)復(fù)    時(shí)間: 2025-3-26 00:09

作者: 骨    時(shí)間: 2025-3-26 08:20

作者: 上漲    時(shí)間: 2025-3-26 11:16

作者: 輕浮女    時(shí)間: 2025-3-26 13:38
Maps of Human Disease: A Web-Based Framework for the Visualization of Human Disease Comorbidity and ication, we propose an interactive system for users to define parameters of representations of the map (see a map representation example in Fig.?.). The demonstrated visualization method offer an opportunity to visually uncover the significant information in clinical data.
作者: 焦慮    時(shí)間: 2025-3-26 19:06

作者: 和平主義者    時(shí)間: 2025-3-27 01:01
S2X: Graph-Parallel Querying of RDF with GraphXerators are implemented in a data-parallel manner. To the best of our knowledge, this is the first approach to combine graph-parallel and data-parallel computation for SPARQL querying of RDF data based on Hadoop.
作者: 凹處    時(shí)間: 2025-3-27 01:31
Parallel and associative processing,a processing tool chain, which first segments the diffraction image into regions of interest using highly conserved features and then samples the possible parameter values with a Markov chain Monte Carlo approach. Our approach produces an automated, reproducible, objective estimate of relevant image parameters.
作者: 迅速飛過(guò)    時(shí)間: 2025-3-27 07:03

作者: 膽大    時(shí)間: 2025-3-27 11:07
LUCAS Associative Array Processorse model and a decisional semantic caching algorithm that formalizes the query planning and execution between mobile users, data owners and cloud providers, allowing stake holders to impose constraints on time, money and energy consumption while understanding the possible tradeoffs between them. We use a hospital application as a user case.
作者: 無(wú)意    時(shí)間: 2025-3-27 16:34
LUCAS Associative Array Processorhe efficient spatial query processing of Hadoop-GIS. The experimental evaluation of SparkGIS for heatmap computations used to compare nucleus segmentation results from multiple images and analysis runs shows that SparkGIS is efficient and scalable, enabling algorithm evaluation and algorithm sensitivity studies on large datasets.
作者: 有角    時(shí)間: 2025-3-27 20:03

作者: LAP    時(shí)間: 2025-3-28 01:15
Secure Similarity Queries: Enabling Precision Medicine with Privacyqueried while ensuring patient privacy? In this paper, we (1) briefly introduce the background of the precision medicine initiative, (2) review existing secure .NN queries and introduce a new class of secure skyline queries, (3) summarize the challenges and investigate potential techniques for secure skyline queries.
作者: 矛盾心理    時(shí)間: 2025-3-28 05:52
Time-, Energy-, and Monetary Cost-Aware Cache Design for a Mobile-Cloud Database Systemse model and a decisional semantic caching algorithm that formalizes the query planning and execution between mobile users, data owners and cloud providers, allowing stake holders to impose constraints on time, money and energy consumption while understanding the possible tradeoffs between them. We use a hospital application as a user case.
作者: HIKE    時(shí)間: 2025-3-28 07:14
SparkGIS: Efficient Comparison and Evaluation of Algorithm Results in Tissue Image Analysis Studieshe efficient spatial query processing of Hadoop-GIS. The experimental evaluation of SparkGIS for heatmap computations used to compare nucleus segmentation results from multiple images and analysis runs shows that SparkGIS is efficient and scalable, enabling algorithm evaluation and algorithm sensitivity studies on large datasets.
作者: Narcissist    時(shí)間: 2025-3-28 11:24

作者: 酷熱    時(shí)間: 2025-3-28 18:28

作者: pester    時(shí)間: 2025-3-28 19:51
Conference proceedings 2016ct were carefully reviewed and selected from 22 initial submissions. The papers are organized in topical sections on information retrieval and data analytics for electronic medical records; data management and visualization of medical data; biomedical data sharing and integration; medical imaging analytics; and big-graphs online querying..
作者: 認(rèn)識(shí)    時(shí)間: 2025-3-29 02:59

作者: Nerve-Block    時(shí)間: 2025-3-29 05:51

作者: Abbreviate    時(shí)間: 2025-3-29 08:03

作者: BRAND    時(shí)間: 2025-3-29 12:32

作者: 緯度    時(shí)間: 2025-3-29 16:01
Parallel and associative processing,between 3D nuclei and vessels. We quantitatively evaluate the performance of 3D intersection detection by the heuristic algorithm and distance-based query based on . tree traversal. Experimental results demonstrate the efficiency of our framework for 3D spatial analytics with whole-slide serial path
作者: Definitive    時(shí)間: 2025-3-29 20:37

作者: 古代    時(shí)間: 2025-3-30 00:01
Vector Space Models for Encoding and Retrieving Longitudinal Medical Record Dataombinations of standard and temporal terms as dimensions, and we evaluate their performance using manually annotated data on chemotherapy plans and treatment histories for breast cancer patients. In classifying treatment histories, the best approach used temporal terms, which had 87?% accuracy in id
作者: 草本植物    時(shí)間: 2025-3-30 05:04

作者: 招募    時(shí)間: 2025-3-30 11:04

作者: Anthology    時(shí)間: 2025-3-30 16:21
The Time Has Come: Traversal and Reachability in Time-Varying Graphstypical implementations against two graph processing systems, a columnar graph execution engine and a native graph database management system. Our experimental evaluation on a large real-world graph dataset demonstrates the generality and applicability of our solution and shows the scalability of ou
作者: Obligatory    時(shí)間: 2025-3-30 17:21

作者: Felicitous    時(shí)間: 2025-3-31 00:36
The Study of the Compatibility Rules of Traditional Chinese Medicine Based on Apriori and HMETIS Hyp increase the efficacy in treating certain syndromes. However, up to now, most of the compatibility rules of herbs are based on empirical analyses, which make them hard to study. Since concepts of Big Data and machine learning have been popularized gradually, how to use data mining techniques to eff
作者: V洗浴    時(shí)間: 2025-3-31 04:44
Comparing Small Graph Retrieval Performance for Ontology Concepts in Medical Textsare, essentially, small segments of the terminology graphs. Compositional expressions add logical and linguistic relations to the standard technique of post-coordination. In indexing medical text, many instances of compositional expressions must be stored, and in performing retrieval on that index,
作者: 小淡水魚(yú)    時(shí)間: 2025-3-31 05:22
Maps of Human Disease: A Web-Based Framework for the Visualization of Human Disease Comorbidity and algorithms, we have implemented an innovative two-layer multiplex network of human diseases. Specifically, we extract the International Classification of Diseases, Ninth Revision (ICD9) codes from an Electronic Medical Records (EMRs) database to build our map of human diseases. In the lower layer,




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