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A Workload-Adaptive Streaming Partitioner for Distributed Graph Stores 分布式图存储的工作负载自适应流分区
IF 4.2 2区 计算机科学
Data Science and Engineering Pub Date : 2021-04-15 DOI: 10.1007/s41019-021-00156-2
A. Davoudian, Liu Chen, Hongwei Tu, Mengchi Liu
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引用次数: 7
Keyword Search on Large Graphs: A Survey 大型图形的关键字搜索:综述
IF 4.2 2区 计算机科学
Data Science and Engineering Pub Date : 2021-03-31 DOI: 10.1007/s41019-021-00154-4
Jianye Yang, Wu Yao, Wenjie Zhang
{"title":"Keyword Search on Large Graphs: A Survey","authors":"Jianye Yang, Wu Yao, Wenjie Zhang","doi":"10.1007/s41019-021-00154-4","DOIUrl":"https://doi.org/10.1007/s41019-021-00154-4","url":null,"abstract":"","PeriodicalId":52220,"journal":{"name":"Data Science and Engineering","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2021-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87848322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 20
Querying Optimal Routes for Group Meetup 查询分组聚会的最优路由
IF 4.2 2区 计算机科学
Data Science and Engineering Pub Date : 2021-03-15 DOI: 10.1007/s41019-021-00153-5
Bo Chen, Huaijie Zhu, Wei Liu, Jian Yin, Wang-Chien Lee, Jianliang Xu
{"title":"Querying Optimal Routes for Group Meetup","authors":"Bo Chen, Huaijie Zhu, Wei Liu, Jian Yin, Wang-Chien Lee, Jianliang Xu","doi":"10.1007/s41019-021-00153-5","DOIUrl":"https://doi.org/10.1007/s41019-021-00153-5","url":null,"abstract":"","PeriodicalId":52220,"journal":{"name":"Data Science and Engineering","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2021-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75645763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
A Survey of Traffic Prediction: from Spatio-Temporal Data to Intelligent Transportation 交通预测研究:从时空数据到智能交通
IF 4.2 2区 计算机科学
Data Science and Engineering Pub Date : 2021-01-23 DOI: 10.1007/s41019-020-00151-z
Haitao Yuan, Guoliang Li
{"title":"A Survey of Traffic Prediction: from Spatio-Temporal Data to Intelligent Transportation","authors":"Haitao Yuan, Guoliang Li","doi":"10.1007/s41019-020-00151-z","DOIUrl":"https://doi.org/10.1007/s41019-020-00151-z","url":null,"abstract":"","PeriodicalId":52220,"journal":{"name":"Data Science and Engineering","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2021-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76395104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 18
OODIDA: On-Board/Off-Board Distributed Real-Time Data Analytics for Connected Vehicles OODIDA:车载/车载分布式实时数据分析
IF 4.2 2区 计算机科学
Data Science and Engineering Pub Date : 2021-01-22 DOI: 10.1007/s41019-021-00152-6
G. Ulm, Simon Smith, Adrian Nilsson, E. Gustavsson, M. Jirstrand
{"title":"OODIDA: On-Board/Off-Board Distributed Real-Time Data Analytics for Connected Vehicles","authors":"G. Ulm, Simon Smith, Adrian Nilsson, E. Gustavsson, M. Jirstrand","doi":"10.1007/s41019-021-00152-6","DOIUrl":"https://doi.org/10.1007/s41019-021-00152-6","url":null,"abstract":"","PeriodicalId":52220,"journal":{"name":"Data Science and Engineering","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2021-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76276966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 10
SUMA: A Partial Materialization-Based Scalable Query Answering in OWL 2 DL SUMA: OWL 2dl中基于部分实体化的可扩展查询应答
IF 4.2 2区 计算机科学
Data Science and Engineering Pub Date : 2021-01-19 DOI: 10.1007/s41019-020-00150-0
Xiaoyu Qin, Xiaowang Zhang, Muhammad Qasim Yasin, Shujun Wang, Zhiyong Feng, Guohui Xiao
{"title":"SUMA: A Partial Materialization-Based Scalable Query Answering in OWL 2 DL","authors":"Xiaoyu Qin, Xiaowang Zhang, Muhammad Qasim Yasin, Shujun Wang, Zhiyong Feng, Guohui Xiao","doi":"10.1007/s41019-020-00150-0","DOIUrl":"https://doi.org/10.1007/s41019-020-00150-0","url":null,"abstract":"","PeriodicalId":52220,"journal":{"name":"Data Science and Engineering","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2021-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77103071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
A Survey on Advancing the DBMS Query Optimizer: Cardinality Estimation, Cost Model, and Plan Enumeration 改进DBMS查询优化器的综述:基数估计、成本模型和计划枚举
IF 4.2 2区 计算机科学
Data Science and Engineering Pub Date : 2021-01-05 DOI: 10.1007/s41019-020-00149-7
Hai Lan, Z. Bao, Yuwei Peng
{"title":"A Survey on Advancing the DBMS Query Optimizer: Cardinality Estimation, Cost Model, and Plan Enumeration","authors":"Hai Lan, Z. Bao, Yuwei Peng","doi":"10.1007/s41019-020-00149-7","DOIUrl":"https://doi.org/10.1007/s41019-020-00149-7","url":null,"abstract":"","PeriodicalId":52220,"journal":{"name":"Data Science and Engineering","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2021-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76537659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 49
Predicting Geolocation of Tweets: Using Combination of CNN and BiLSTM. 基于CNN和BiLSTM的推文地理位置预测
IF 4.2 2区 计算机科学
Data Science and Engineering Pub Date : 2021-01-01 Epub Date: 2021-07-08 DOI: 10.1007/s41019-021-00165-1
Rhea Mahajan, Vibhakar Mansotra
{"title":"Predicting Geolocation of Tweets: Using Combination of CNN and BiLSTM.","authors":"Rhea Mahajan,&nbsp;Vibhakar Mansotra","doi":"10.1007/s41019-021-00165-1","DOIUrl":"https://doi.org/10.1007/s41019-021-00165-1","url":null,"abstract":"<p><p>Twitter is one of the most popular micro-blogging and social networking platforms where users post their opinions, preferences, activities, thoughts, views, etc., in form of tweets within the limit of 280 characters. In order to study and analyse the social behavior and activities of a user across a region, it becomes necessary to identify the location of the tweet. This paper aims to predict geolocation of real-time tweets at the city level collected for a period of 30 days by using a combination of convolutional neural network and a bidirectional long short-term memory by extracting features within the tweets and features associated with the tweets. We have also compared our results with previous baseline models and the findings of our experiment show a significant improvement over baselines methods achieving an accuracy of 92.6 with a median error of 22.4 km at city level prediction.</p>","PeriodicalId":52220,"journal":{"name":"Data Science and Engineering","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s41019-021-00165-1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39178111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 13
Image Preprocessing in Classification and Identification of Diabetic Eye Diseases. 图像预处理在糖尿病眼病分类与识别中的应用。
IF 4.2 2区 计算机科学
Data Science and Engineering Pub Date : 2021-01-01 Epub Date: 2021-08-17 DOI: 10.1007/s41019-021-00167-z
Rubina Sarki, Khandakar Ahmed, Hua Wang, Yanchun Zhang, Jiangang Ma, Kate Wang
{"title":"Image Preprocessing in Classification and Identification of Diabetic Eye Diseases.","authors":"Rubina Sarki,&nbsp;Khandakar Ahmed,&nbsp;Hua Wang,&nbsp;Yanchun Zhang,&nbsp;Jiangang Ma,&nbsp;Kate Wang","doi":"10.1007/s41019-021-00167-z","DOIUrl":"https://doi.org/10.1007/s41019-021-00167-z","url":null,"abstract":"<p><p>Diabetic eye disease (DED) is a cluster of eye problem that affects diabetic patients. Identifying DED is a crucial activity in retinal fundus images because early diagnosis and treatment can eventually minimize the risk of visual impairment. The retinal fundus image plays a significant role in early DED classification and identification. An accurate diagnostic model's development using a retinal fundus image depends highly on image quality and quantity. This paper presents a methodical study on the significance of image processing for DED classification. The proposed automated classification framework for DED was achieved in several steps: image quality enhancement, image segmentation (region of interest), image augmentation (geometric transformation), and classification. The optimal results were obtained using traditional image processing methods with a new build convolution neural network (CNN) architecture. The new built CNN combined with the traditional image processing approach presented the best performance with accuracy for DED classification problems. The results of the experiments conducted showed adequate accuracy, specificity, and sensitivity.</p>","PeriodicalId":52220,"journal":{"name":"Data Science and Engineering","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s41019-021-00167-z","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39335652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 38
Exploring Means to Enhance the Efficiency of GPU Bitmap Index Query Processing 探索提高GPU位图索引查询处理效率的方法
IF 4.2 2区 计算机科学
Data Science and Engineering Pub Date : 2020-11-30 DOI: 10.1007/s41019-020-00148-8
Brandon Tran, Brennan Schaffner, J. Myre, Jason Sawin, David Chiu
{"title":"Exploring Means to Enhance the Efficiency of GPU Bitmap Index Query Processing","authors":"Brandon Tran, Brennan Schaffner, J. Myre, Jason Sawin, David Chiu","doi":"10.1007/s41019-020-00148-8","DOIUrl":"https://doi.org/10.1007/s41019-020-00148-8","url":null,"abstract":"","PeriodicalId":52220,"journal":{"name":"Data Science and Engineering","volume":null,"pages":null},"PeriodicalIF":4.2,"publicationDate":"2020-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88292955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
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