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Zhenwen He, Chunfeng Zhang, Xiaogang Ma and Gang Liu
Time series data are widely found in finance, health, environmental, social, mobile and other fields. A large amount of time series data has been produced due to the general use of smartphones, various sensors, RFID and other internet devices. How a time...
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Xiang Cao and Cheng Li
NoSQL databases are flexible and efficient for many data intensive applications, and the key-value store is one of them. In recent years, a new Ethernet accessed disk drive called the ?Kinetic Drive? was developed by Seagate. This new Kinetic Drive is sp...
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Elias Dritsas, Andreas Kanavos, Maria Trigka, Gerasimos Vonitsanos, Spyros Sioutas and Athanasios Tsakalidis
Privacy Preserving and Anonymity have gained significant concern from the big data perspective. We have the view that the forthcoming frameworks and theories will establish several solutions for privacy protection. The k-anonymity is considered a key sol...
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Weiming Huang, Syed Amir Raza, Oleg Mirzov and Lars Harrie
Geospatial information is indispensable for various real-world applications and is thus a prominent part of today?s data science landscape. Geospatial data is primarily maintained and disseminated through spatial data infrastructures (SDIs). However, cur...
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