000929607 000__ 17343cam\a2200709Ii\4500 000929607 001__ 929607 000929607 005__ 20230306151339.0 000929607 006__ m\\\\\o\\d\\\\\\\\ 000929607 007__ cr\un\nnnunnun 000929607 008__ 190503s2019\\\\sz\\\\\\ob\\\\100\0\eng\d 000929607 019__ $$a1115114434$$a1122894362$$a1125694145$$a1126145195$$a1136225410 000929607 020__ $$a9783030185909$$q(electronic book) 000929607 020__ $$a3030185907$$q(electronic book) 000929607 020__ $$z3030185893 000929607 020__ $$z9783030185893 000929607 020__ $$z9783030185916 000929607 020__ $$z3030185915 000929607 0247_ $$a10.1007/978-3-030-18590-9$$2doi 000929607 035__ $$aSP(OCoLC)on1124280027 000929607 035__ $$aSP(OCoLC)1124280027$$z(OCoLC)1115114434$$z(OCoLC)1122894362$$z(OCoLC)1125694145$$z(OCoLC)1126145195$$z(OCoLC)1136225410 000929607 040__ $$aSNK$$beng$$erda$$epn$$cSNK$$dOCLCO$$dVT2$$dOCLCF$$dUX1$$dEBLCP$$dOCLCQ$$dGW5XE$$dOCLCQ 000929607 049__ $$aISEA 000929607 050_4 $$aQA76.9.D3$$bD37 2019 000929607 08204 $$a005.74$$223 000929607 1112_ $$aDASFAA (Conference : Database systems)$$n(24th :$$d2019 :$$cChiang Mai, Thailand) 000929607 24510 $$aDatabase systems for advanced applications :$$bDASFAA 2019 International Workshops: BDMS, BDQM, and GDMA, Chiang Mai, Thailand, April 22-25, 2019, Proceedings /$$cGuoliang Li, Jun Yang, Joao Gama, Juggapong Natwichai, Yongxin Tong (Eds.). 000929607 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2019] 000929607 300__ $$a1 online resource 000929607 336__ $$atext$$btxt$$2rdacontent 000929607 337__ $$acomputer$$bc$$2rdamedia 000929607 338__ $$aonline resource$$bcr$$2rdacarrier 000929607 347__ $$atext file$$bPDF$$2rda 000929607 4901_ $$aLecture notes in computer science ;$$v11448 000929607 4901_ $$aLNCS sublibrary: SL 3 - information systems and applications, incl. Internet/Web, and HCI. 000929607 504__ $$aIncludes bibliographical references and authors' index. 000929607 50500 $$g[I].$$tThe 6th International Workshop on Big Data Management and Service (BDMS 2019):$$g1.$$tA probabilistic approach for inferring latent entity associations in textual web contents /$$rLei Li, Kun Yue, Binbin Zhang, and Zhengbao Sun --$$g2.$$tUHRP : uncertainty-based pruning method for anonymized data linear regression /$$rKun LIu, Wenyan Liu, Junhong Cheng, and Xingjian Lu --$$g3.$$tMeta-path based MiRNA-disease association prediction /$$rHao Lv, Jin Li, Sai Zhang, Kun Yue, and Shaoyu Wei --$$g4.$$tMedical question retrieval based on Siamese neural network and transfer learning method /$$rKun Wang, Bite Yang, Guohai Xu, and Xiaofeng He --$$g5.$$tAn adaptive Kalman filter based ocean wave prediction model using motion reference unit data /$$rYan Tang, Zequan Guo, and Yin Wu --$$g6.$$tASLM : adaptive single layer model for learned index /$$rXin Li, Jingdong Li, and Xiaoling Wang --$$g7.$$tSparseMAAC : sparse attention for multi-agent reinforcement learning /$$rWenhao Li, Bo Jin, and Xiangfeng Wang. 000929607 50580 $$g[II].$$tThe 4th International Workshop on Big Data Quality Management (BDQM 2019):$$g8.$$tIdentifying reference relationship of desktop files based on access logs /$$rYukun Li, Xun Zhang, Jie Li, Yuan Wang, and Degan Zhang --$$g9.$$tVisualization of photo album : selecting a representative photo of a specific event /$$rYukun Li, Ming Geng, Fenglian Liu, and Degan Zhang --$$g10.$$tData quality management in institutional research output data center /$$rXiaohua Shi, Zhuoyuan Xing, and Hongtao Lu --$$g11.$$tGeneralized Bayesian structure learning from noisy datasets /$$rYan Tang, Yu Chen, and Gaolong Ge. 000929607 50580 $$g[III].$$tThe Third International Workshop on Graph Data Management and Analysis (GDMA 2019):$$g12.$$tANDMC : an algorithm for author name disambiguation based on molecular cross clustering /$$rSiyang Zhang, Xinhua E, Tao Huang, and Fan Yang --$$g13.$$tGraph based aspect extraction and rating classification on customer review data /$$rSung Whan Jeon, Hye Jin Lee, Hyeonguk Lee, and Sungzoon Cho --$$g14.$$tStreaming massive electric power data analysis based on spark streaming /$$rXudong Zhang, Zhongwen Qian, Siqi Shen, Jia Shi, and Shujun Wang. 000929607 50580 $$g[IV].$$tPosters:$$g15.$$tDeletion-robust k-coverage queries /$$rXingnan Huang and Jiping Zheng --$$g16.$$tEpisodic memory network with self-attention for emotion detection /$$rJiangping Huang, Zhong Lin, and Xin Liu --$$g17.$$tDetecting suicidal ideation with data protection in online communities /$$rShaoxiong Ji, Guodong Long, Shirui Pan, Tianqing Zhu, Jing Jiang, and Sen Wang --$$g18.$$tHierarchical conceptual labeling /$$rHaiyun Jiang, Cengguang Zhang, Deqing Yang, Yanghua Xiao, Jingping Liu, Jindong Chen, Chao Wang, Chenguang Li, Jiaqing Liang, Bin Liang, and Wei Wang --$$g19.$$tAnomaly detection in time-evolving attributed networks /$$rLuguo Xue, Minnan Luo, Zhen Peng, Jundong Li, Yan Chen, and Jun Liu --$$g20.$$tA multi-task learning framework for automatic early detection of Alzheimer's /$$rNan Xu, Yanyan Shen, and Yanmin Zhu --$$g21.$$tTop-k spatial keywoord query with typicality and semantics /$$rXiangfu Meng, Xiaoyan Zhang, Lin Li, Quangui Zhang, and Pan Li --$$g22.$$tAlign reviews with topic in attention network for rating prediction /$$rYile Liang, Tieyun Qian, and Huilin Yu --$$g23.$$tPSMSP : a parallelized sampling-based approach for mining top-k sequential patterns in database graphs /$$rMingtao Lei, Xi Zhang, Jincui Yang, and Binxing Fang --$$g24.$$tValue-oriented ranking of online reviews based on reviewer-influenced graph /$$rYiming Cao, Lizhen Cui, and Wei He --$$g25.$$tAncient Chinese landscape painting composition classification by using semantic variational autoencoder /$$rBo Yao, Qianzheng Ji, Xiangdong Zhou, Yue Pang, Manliang Cao, Yixuan Wu, and Zijing Tan 000929607 50580 $$g26.$$tLearning time-aware distributed representations of locations from spatio-temporal trajectories /$$rHuaiyu Wan, Fuchen Li, Shengnan Guo, Zhong Cao, and Youfang Lin --$$g27.$$tHyper2vec : biased random walk for hyper-network embedding /$$rJie Huang, Chuan Chen, Fanghua Ye, Jiajing Wu, Zibin Zheng, and Guohui Ling --$$g28.$$tPrivacy-preserving and dynamic spatial range aggregation query processing in wireless sensor networks /$$rLisong Wang, Zhenhai Hu, and Liang Liu --$$g29.$$tAdversarial discriminative denoising for distant supervision relation extraction /$$rBing Liu, Huan Gao, Guilin Qi, Shangfu Duan, Tianxing Wu, and Meng Wang --$$g30.$$tNonnegative spectral clustering for large-scale semi-supervised learning /$$rWeibo Hu, Chuan Chen, Fanghua Ye, Zibin Zheng, Guohui Lig --$$g31.$$tDistributed PARAFAC decomposition method based on in-memory big data system /$$rHye-Kyung Yang and Hwan-Seung Yong --$$g32.$$tGPU-accelerated dynamic graph coloring /$$rYing Yang, Yu Gu, Chuanwen Li, Changyi Wan, and Ge Yu --$$g33.$$tRelevance-based entity embedding /$$rWeixin Zeng, Xiang Zhao, Jiuyang Tang, Jinzhi Liao, and Chang-Dong Wang --$$g34.$$tAn iterative map-trajectory co-optimisation framework based on map-matching and map update /$$rPingfu Chao, Wen Hua, and Xiaofang Zhou --$$g35.$$tExploring regularity in traditional Chinese medicine clinical data using heterogeneous weighted networks embedding /$$rChunyang Ruan, Ye Wang, Yanchun Zhang, and Yun Yang --$$g36.$$tAGREE : attention-based tour group recommendation with multi-modal data /$$rFang Hu, Xiuqi Huang, Xiaofeng Gao, and Guihai Chen --$$g37.$$tRandom decision DAG : an entropy based compression approach for random forest /$$rXin Liu, Xiao Liu, Yongxuan Lai, Fan Yang, and Yifeng Zeng 000929607 50580 $$g38.$$tGenerating behavior features for cold-start spam review detection /$$rXiaoya Tang, Tieyun Qian, and Zhenni You --$$g39.$$tTCL : tensor-CNN-LSTM for travel time prediction with sparse trajectory data /$$rYibin Shen, Jiaxun Hua, Cheqing Jin, and Dingjiang Huang --$$g40.$$tA semi-supervised classification approach for multiple time-varying networks with total variation /$$rYuzheng Li, Chuan Chen, Fanghua Ye, Zibin Zheng, and Guohui Ling --$$g41.$$tMultidimensional skylines over streaming data /$$rKarim Alami and Sofian Maabout --$$g42.$$tA domain adaptation approach for multistream classification /$$rYue Xie, Jingjing Li, Mengmeng Jing, Ke Lu, and Zi Huang --$$g43.$$tGradient boosting censored regression for winning price prediction in real-time bidding /$$rPiyush Paliwal and Oleksii Renov --$$g44.$$tDeep sequential multi-task modeling for next check-in time and location prediction /$$rWenwei Liang, Wei Zhang, and Xiaoling Wang --$$g45.$$tSemiSync : semi-supervised clustering by synchronization /$$rZhong Zhang, Didi Kang, Chongming Gao, and Junming Shao --$$g46.$$tNeural review rating prediction with hierarchical attentions and latent factors /$$rXianchen Wang, Hongtao Liu, Peiyi Wang, Fangzhao Wu, Hongyan Xu, Wenjun Wang, and Xing Xie --$$g47.$$tMVS-match : an efficient subsequence matching approach based on the series synopsis /$$rKefeng Feng, Jiaye Wu, Peng Wang, Ningting Pan, and Wei Wang --$$g48.$$tSpatial-temporal recommendations for on-demand cinemas /$$rTaofeng Xue, Beihong Jin, Beibei Li, Kunchi Liu, Qi Zhang, and Sihua Tian --$$g49.$$tFinding the key influences on the house price by finite mixture model absed on the real estate data in Changchun /$$rXin Xu, Zeyu Huang, Jingyi Wu, Yanjie Fu, Na Luo, Weitong Chen, Jianan Wang, and Minghao Yin 000929607 50580 $$g50.$$tSemi-supervised clustering with deep metric learning /$$rXiaocui Li, Hongzhi Yin, Ke Zhou, Hongxu Chen, Shazia Sadiq, and Xiaofang Zhou --$$g51.$$tSpatial bottleneck minimum task assignment with time-delay /$$rLong Li, Jingzhi Fang, Bowen Du, and Weifeng Lv --$$g52.$$tA mimic learning method for disease risk prediction with incomplete initial data /$$rLin Yue, Haonan Zhao, Yiqin Yang, Dongyuan Tian, Xiaowei Zhao, and Minghao Yin --$$g53.$$tHospitalization behavior prediction based on attention and time adjustment factors in bidirectional LSTM /$$rLin Cheng, Yongjian Ren, Kun Zhang, Li Pan, and Yuliang Shi --$$g54.$$tModeling item categories for effective recommendation /$$rBo Song, Yi Cao, Weike Pan, and Congfu Xu --$$g55.$$tDistributed reachability queries on massive graphs /$$rTianming Zhang, Yunjun Gao, Congzheng Li, Congcong Ge, Wei Guo, and Qiang Zhou --$$g56.$$tEdge-based shortest path caching in road networks /$$rDetian Zhang, An Liu, Gaoming Jin, and Qing Li --$$g57.$$tExtracting definitions and hypernyms with a two-phase framework /$$rYifang Sun, Shifeng Liu, Yufei Wang, and Wei Wang --$$g58.$$tTag recommendation by word-level tag sequence modeling /$$rXuewen Shi, Heyan Huang, Shuyang Zhao, Ping Jian, and Yi-Kun Tang --$$g59.$$tA new statistics collecting method with adaptive strategy /$$rJin-Tao Gao, Wen-Jie Liu, Zhan-Huai Li, Hong-Tao Du, and Ou-Ya Pei --$$g60.$$tWord sense disambiguation with massive contextual texts /$$rYa-fei Liu and Jinmao Wei --$$g61.$$tLearning DMEs from positive and negative examples /$$rYeting Li, Chunmei Dong, Xinyu Chu, and Haiming Chen --$$g62.$$tSerial and parallel recurrent convolutional neural networks for biomedical named entity recognition /$$rQianhui Lu, Yunlai Xu, Runqi Yang, Ning Li, and Chongjun Wang 000929607 50580 $$g63.$$tDRGAN : a GAN-based framework for doctor recommendation in Chinese on-line QA communities /$$rBing Tian, Yong Zhang, Xinhuan Chen, Chunxiao Xing, and Chao Li --$$g64.$$tAttention-based abnormal-aware fusion network for radiology report generation /$$rXiancheng Xie, Yun Xiong, Philip S. Yu, Kangan Li, Suhua Zhang, and Yangyong Zhu --$$g65.$$tLearningTour : a machine learning approach for tour recommendation based on users' historical travel experience /$$rZhaorui Li, Yuanning Gao, Xiaofeng Gao, and Guihai Chen --$$g66.$$tTF-miner : topic-specific facet mining by label propagation /$$rZhaotong Guo, Bifan Wei, Jun Liu, and Bei Wu --$$g67.$$tFast raft replication for transactional database systems over unreliable networks /$$rPeng Cai, Jinwei Guo, Huan Zhou, Weining Qian, and Aoying Zhou --$$g68.$$tParallelizing big De Brujin graph traversal for genome assembly on GPU clusters /$$rShuang Qiu, Zonghao Feng, and Qiong Luo --$$g69.$$tGScan : exploiting sequential scans for subgraph matching /$$rZhiwei Zhang, Hao Wei, Jianliang Xu, and Byron Choi --$$g70.$$tSIMD accelerates the probe phase of star joins in main memory databases /$$rZhuhe Fang, Zeyu He, Jiajia Chu, and Chuliang Weng --$$g71.$$tA deep recommendation model incorporating adaptive knowledge-based representation /$$rChenlu Shen, Deqing Yang, and Yanghua Xiao --$$g72.$$tBLOMA : explaining collaborative filtering via boosted local rank-one matrix approximation /$$rChongming Gao, Shuai Yuan, Zhong Zhang, Hongzhi Yin, and Junming Shao 000929607 50580 $$g73.$$tSpatiotemporal-aware region recommendation with deep metric learning /$$rHengpeng Xu, Yao Zhang, Jinmao Wei, Zhenglu Yang, and Jun Wang --$$g74.$$tOn the impact of the length of subword vectors on word embeddings /$$rXiangrui Cai, Yonghong Luo, Ying Zhang, and Xiaojie Yuan --$$g75.$$tUsing dilated residual network to mode distantly supervised relation extraction /$$rLei Zhan, Yan Yang, Pinpin Zhu, Liang He, and Zhou Yu --$$g76.$$tModeling more globally : a hierarchical network via multi-task learning for aspect-based sentiment analysis /$$rXiangying Ran, Yuanyuan Pan, Wei Sun, and Chongjun Wang --$$g77.$$tA scalable sparse matrix-based join for SPARQL query processing /$$rXiaowang Zhang, Mingyue Zhang, Peng Peng, Jiaming Song, Zhiyong Fent, and Lei Zou --$$g78.$$tChange point detection for streaming high-dimensional time series /$$rMasoomeh Zameni, Zahra Ghafoori, Amin Sadri, Christopher Leckie, and Kotagiri Ramamohanarao. 000929607 50580 $$g[V].$$tDemos:$$g79.$$tDistributed query engine for multiple-query optimization over data stream /$$rJunye Yang, Yong Zhang, Jin Wang, Chunxiao Xing --$$g80.$$tAdding value by combining business and sensor data : an industry 4.0 use case /$$rGuenter Hesse, Christoph Matthies, Werner Sinzig, Matthias Uflacker --$$g81.$$tAgriKG : an agricultural knowledge graph and its applications /$$rYuanzhe Chen, Jun Kuang, Dawei Cheng, Jianbin Zheng, Ming Gao, Aoying Zhou --$$g82.$$tKGVis : an interactive visual query language for knowledge graphs /$$rXin Wang, Qiang Fu, Jianqiang Mei, Jianxin Li, Yajun Yang --$$g83.$$tOperaMiner : extracting character relations from Opera scripts using deep neural networks /$$rXujian Zhao, Xinnan Dai, Peiquan Jin, Hui Zhang, Chunming Yang, Bo Li --$$g84.$$tGparMiner : a system to mine graph pattern association rules /$$rXin Wang, Yang Xu, Ruocheng Zhao, Junjie Lin, Huayi Zhan --$$g85.$$tA data publishing system based on privacy and preservation /$$rZhihui Wang, Yun Zhu, Xuchen Zhou --$$g86.$$tPrivacy as a service : publishing data and models /$$rAshish Dandekar, Debabrota Basu, Thomas Kister, Geong Sen Poh, Jia Xu, Stéphane Bressan --$$g87.$$tDynamic bus route adjustment based on hot bus stop pair extraction /$$rJiaye Liu, Jiali Mao, YunTao Du, Lishen Zhao, Zhao Zhang --$$g88.$$tDHDSearch : a framework for batch time series searching on MapReduce /$$rZhongsheng Li, Qiuhong Li, Wei Wang, Yang Wang, Yimin Liu --$$g89.$$tBus stop refinement based on hot spot extraction /$$rYilian Xin, Jiali Mao, Simin Yu, Minxi Li, Cheqing Jin --$$g90.$$tAdaptive transaction scheduling for highly contended workloads /$$rJixin Wang, Jinwei Guo, Huan Zhou, Peng Cai, Weining Qian --$$g91.$$tIMOptimizer : an online interactive parameter optimization system based on big data /$$rZhiyu Liang, Hongzhi Wang, Jianzhong Li, Hong Gao. 000929607 50580 $$g[VI].$$tTutorials:$$g92.$$tCohesive subgraphs with hierarchical decomposition on big graphs /$$rWenjie Zhang, Fan Zhang, Ying Zhang, and Lu Qin --$$g93.$$tTracking user behaviours : laboratory-based and in-the-wild user studies /$$rGianluca Demartini and Shazia Sadiq --$$g94.$$tMining knowledge graphs for vision tasks /$$rXiaojun Chang, Fengda Zhu, Xiaoran Bi, Weili Guan, Zongyuan Ge, and Minnan Luo --$$g95.$$tEnterprise knowledge graph from specific business task to enterprise knowledge management /$$rRong Duan and Yanghua Xiao --$$g96.$$tKnowledge graph data management /$$rXin Wang --$$g97.$$tDeep learning for healthcare data processing /$$rWeitong Chen. 000929607 506__ $$aAccess limited to authorized users. 000929607 520__ $$aThis book constitutes the workshop proceedings of the 24th International Conference on Database Systems for Advanced Applications, DASFAA 2019, held in Chiang Mai, Thailand, in April 2019. The 14 full papers presented were carefully selected and reviewed from 26 submissions to the three following workshops: the 6th International Workshop on Big Data Management and Service, BDMS 2019; the 4th International Workshop on Big Data Quality Management, BDQM 2019; and the Third International Workshop on Graph Data Management and Analysis, GDMA 2019. This volume also includes the short papers, demo papers, and tutorial papers of the main conference DASFAA 2019. --$$cProvided by publisher. 000929607 650_0 $$aDatabase management$$vCongresses. 000929607 650_0 $$aDatabases$$vCongresses. 000929607 7001_ $$aLi, Guoliang,$$eeditor. 000929607 7001_ $$aYang, Jun,$$d1975 September 9-$$eeditor. 000929607 7001_ $$aGama, João,$$eeditor. 000929607 7000_ $$aJuggapong Natwichai,$$eeditor. 000929607 7001_ $$aTong, Yongxin.,$$eeditor. 000929607 77608 $$iPrint version:$$aDASFAA (Conference : Database systems) (24th : 2019 : Chiang Mai, Thailand).$$tDatabase systems for advanced applications.$$dCham, Switzerland : Springer, [2019]$$z3030185893$$z9783030185893$$w(OCoLC)1090864506 000929607 830_0 $$aLecture notes in computer science ;$$v11448. 000929607 830_0 $$aLNCS sublibrary.$$nSL 3,$$pInformation systems and applications, incl. Internet/Web, and HCI. 000929607 852__ $$bebk 000929607 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-18590-9$$zOnline Access$$91397441.1 000929607 909CO $$ooai:library.usi.edu:929607$$pGLOBAL_SET 000929607 980__ $$aEBOOK 000929607 980__ $$aBIB 000929607 982__ $$aEbook 000929607 983__ $$aOnline 000929607 994__ $$a92$$bISE