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Karima Khettabi, Zineddine Kouahla, Brahim Farou, Hamid Seridi and Mohamed Amine Ferrag
Internet of Things (IoT) systems include many smart devices that continuously generate massive spatio-temporal data, which can be difficult to process. These continuous data streams need to be stored smartly so that query searches are efficient. In this ...
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Imene Bareche and Ying Xia
The magnitude of highly dynamic spatial data is expanding rapidly due to the instantaneous evolution of mobile technology, resulting in challenges for continuous queries. We propose a novel indexing approach model, namely, the Velocity SpatioTemporal ind...
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Rong Yang and Baoning Niu
Continuous k nearest neighbor queries over spatial?textual data streams (abbreviated as CkQST) are the core operations of numerous location-based publish/subscribe systems. Such a system is usually subscribed with millions of CkQST and evaluated simultan...
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Ze Deng, Meng Wang, Lizhe Wang, Xiaohui Huang, Wei Han, Junde Chu and Albert Y. Zomaya
Current social-network-based and location-based-service applications need to handle continuous spatial approximate keyword queries over geo-textual streaming data of high density. The continuous query is a well-known expensive operation. The optimization...
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Tianyang Dong, Lulu Yuan, Yuehui Shang, Yang Ye and Ling Zhang
Continuous K-nearest neighbor (CKNN) queries on moving objects retrieve the K-nearest neighbors of all points along a query trajectory. They mainly deal with the moving objects that are nearest to the moving user within a specified period of time. The ex...
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Jiwei Qin, Liangli Ma and Qing Liu
With the increase in mobile location service applications, spatiotemporal queries over the trajectory data of moving objects have become a research hotspot, and continuous query is one of the key types of various spatiotemporal queries. In this paper, we...
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Petros Zervoudakis, Haridimos Kondylakis, Nicolas Spyratos and Dimitris Plexousakis
HIFUN is a high-level query language for expressing analytic queries of big datasets, offering a clear separation between the conceptual layer, where analytic queries are defined independently of the nature and location of data, and the physical layer, w...
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Hengcai Zhang, Feng Lu and Jie Chen
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Adi Wijaya,Romi Satria Wahono
Pág. 1 - 8
Intrinsic plagiarism detection is the task of analyzing a document with respect to undeclared changes in writing style which treated as outliers. Naive Bayes is often used to outlier detection. However, Naive Bayes has assumption that the values of conti...
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Elena Mastria, Francesco Pacenza, Jessica Zangari, Francesco Calimeri, Simona Perri and Giorgio Terracina
Stream Reasoning (SR) focuses on developing advanced approaches for applying inference to dynamic data streams; it has become increasingly relevant in various application scenarios such as IoT, Smart Cities, Emergency Management, and Healthcare, despite ...
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Haibo Chen and Daolei Liang
In various applications of blockchain, how to index spatio-temporal data more efficiently has become a subject of continuous attention. The existing spatio-temporal data query in the blockchain is realized by adding additional external storage or fixed s...
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Maria-Evangelia Papadaki, Nicolas Spyratos and Yannis Tzitzikas
The continuous accumulation of multi-dimensional data and the development of Semantic Web and Linked Data published in the Resource Description Framework (RDF) bring new requirements for data analytics tools. Such tools should take into account the speci...
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Alexander Lange, Ronghua Xu, Max Kaeding, Steffen Marx and Joern Ostermann
Regular inspections of important civil infrastructures are mandatory to ensure structural safety and reliability. Until today, these inspections are primarily conducted manually, which has several deficiencies. In context of prestressed concrete structur...
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Manal A. Abdel-Fattah, Wael Mohamed and Sayed Abdelgaber
Currently, the continuous massive growth in the size, variety, and velocity of data is defined as big data. Relational databases have a limited ability to work with big data. Consequently, not only structured query language (NoSQL) databases were utilize...
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R. A. Bagutdinov,M. F. Stepanov
Pág. 39 - 44
The paper analyzes the existing methods for processing big data, which can be applied to the processing of heterogeneous and multi-scale data. In this work, heterogeneous data is understood as any data with high variability of data types, formats and nat...
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Xi Kuai, Renzhong Guo, Zhijun Zhang, Biao He, Zhigang Zhao and Han Guo
Georeferencing by place names (known as toponyms) is the most common way of associating textual information with geographic locations. While computers use numeric coordinates (such as longitude-latitude pairs) to represent places, people generally refer ...
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Marianne Procopio, Carlos Scheidegger, Eugene Wu and Remco Chang
Progressive visualization offers a great deal of promise for big data visualization; however, current progressive visualization systems do not allow for continuous interaction. What if users want to see more confident results on a subset of the visualiza...
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