@article{761164,
      note = {Includes index.},
      author = {Hameurlain, Abdelkader, and Küng, Josef, and Wagner,  Roland R., and Anjomshoaa, Amin, and Hung, Patrick C. K.,  and Kalisch, Dominik, and Sobolevsky, Stanislav,},
      url = {http://library.usi.edu/record/761164},
      title = {Transactions on large-scale data- and knowledge-centered  systems XXVII : special issue on big data for complex urban  systems /},
      abstract = {The LNCS journal Transactions on Large-Scale Data- and  Knowledge-Centered Systems focuses on data management,  knowledge discovery, and knowledge processing, which are  core and hot topics in computer science. Since the 1990s,  the Internet has become the main driving force behind  application development in all domains. An increase in the  demand for resource sharing across different sites  connected through networks has led to an evolution of data-  and knowledge-management systems from centralized systems  to decentralized systems enabling large-scale distributed  applications providing high scalability. Current  decentralized systems still focus on data and knowledge as  their main resource. Feasibility of these systems relies  basically on P2P (peer-to-peer) techniques and the support  of agent systems with scaling and decentralized control.  Synergy between grids, P2P systems, and agent technologies  is the key to data- and knowledge-centered systems in  large-scale environments. This, the 27th issue of  Transactions on Large-Scale Data- and Knowledge-Centered  Systems, contains extended and revised versions of 12  papers presented at the Big Data and Technology for Complex  Urban Systems symposium, held in Kauai, HI, USA in January  2016. The papers explore the use of big data in complex  urban systems in the areas of politics, society, commerce,  tax, and emergency management.},
      doi = {https://doi.org/10.1007/978-3-662-53416-8},
      recid = {761164},
      pages = {1 online resource (xii, 209 pages) :},
}