Titlebook: Web and Big Data; Second International Yi Cai,Yoshiharu Ishikawa,Jianliang Xu Conference proceedings 2018 Springer Nature Switzerland AG 20

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Detecting Taxi Speeding from Sparse and Low-Sampled Trajectory Datation (CMF)-based model to estimate the individual vehicle speed. We have evaluated our method on real-world datasets, and the results show the effectiveness of our method in detecting taxi speeding behaviors.

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Detecting Taxi Speeding from Sparse and Low-Sampled Trajectory Datation (CMF)-based model to estimate the individual vehicle speed. We have evaluated our method on real-world datasets, and the results show the effectiveness of our method in detecting taxi speeding behaviors.

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Conference proceedings 2018lly reviewed and selected from 168 submissions.?The papers are organized around the following topics: Text Analysis, Social Networks, Recommender Systems, Information Retrieval, Machine Learning, Knowledge Graphs, Database and Web Applications, Data Streams, Data Mining and Application, Query Processing, Big Data and Blockchain..

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Fuzzy Searching Encryption with Complex Wild-Cards Queries on Encrypted Databaseowever, most proposed schemes base on centralized inverted indexes which cannot handle complicated queries with wild-cards. In this paper, we present a well-designed FSE schema through Locality-Sensitive-Hashing and Bloom-Filter algorithms to generate two types of auxiliary columns respectively. Fur

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Fuzzy Searching Encryption with Complex Wild-Cards Queries on Encrypted Databaseowever, most proposed schemes base on centralized inverted indexes which cannot handle complicated queries with wild-cards. In this paper, we present a well-designed FSE schema through Locality-Sensitive-Hashing and Bloom-Filter algorithms to generate two types of auxiliary columns respectively. Fur

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Towards Privacy-Preserving Travel-Time-First Task Assignment in Spatial Crowdsourcingof problem-solving. It enables complex tasks at specific locations to be performed by a crowd of nearby workers. In this paper, we study the privacy-preserving travel-time-first task assignment problem where tasks are assigned to workers who can arrive at the required locations first and no private

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Towards Privacy-Preserving Travel-Time-First Task Assignment in Spatial Crowdsourcingof problem-solving. It enables complex tasks at specific locations to be performed by a crowd of nearby workers. In this paper, we study the privacy-preserving travel-time-first task assignment problem where tasks are assigned to workers who can arrive at the required locations first and no private

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Plover: Parallel In-Memory Database Logging on Scalable Storage Deviceswith a single I/O channel, which can be a serious bottleneck. In this paper, we propose a parallel logging mechanism, named . for in-memory databases, which utilizes the partial order property of transactions’ dependencies and allows for concurrent logging in scalable storage devices. To further all