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020 _a9784431549741
_9978-4-431-54974-1
024 7 _a10.1007/978-4-431-54974-1
_2doi
035 _ato000545808
040 _aSpringer
_cSpringer
_dRU-ToGU
050 4 _aQA276-280
072 7 _aPBT
_2bicssc
072 7 _aPD
_2bicssc
072 7 _aMAT029000
_2bisacsh
082 0 4 _a519.5
_223
100 1 _aSato, Aki-Hiro.
_eauthor.
_9455132
245 1 0 _aApplied Data-Centric Social Sciences
_helectronic resource
_bConcepts, Data, Computation, and Theory /
_cby Aki-Hiro Sato.
260 _aTokyo :
_bSpringer Japan :
_bImprint: Springer,
_c2014.
300 _aXXIII, 281 p. 71 illus., 20 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
505 0 _aIntroduction -- Introduction -- Framework -- Methodology -- Mathematical expressions -- Data in computers -- Exemplar studies -- Risk assessment of extreme events -- Segmentation study of foreign exchange market -- Hotel booking data -- Tendency of international air travels -- Energy consumption -- Future work -- Future research in applied data-centric social sciences.
520 _aApplied data-centric social sciences aim to develop both methodology and practical applications of various fields of social sciences and businesses with rich data. Specifically, in the social sciences, a vast amount of data on human activities may be useful for understanding collective human nature. In this book, the author introduces several mathematical techniques for handling a huge volume of data and analysing collective human behaviour. The book is constructed from data-oriented investigation, with mathematical methods and expressions used for dealing with data for several specific problems. The fundamental philosophy underlying the book is that both mathematical and physical concepts are determined by the purposes of data analysis. This philosophy is shown throughout exemplar studies of several fields in socio-economic systems. From a data-centric point of view, the author proposes a concept that may change people’s minds and cause them to start thinking from the basis of data. Several goals underlie the chapters of the book. The first is to describe mathematical and statistical methods for data analysis, and toward that end the author delineates methods with actual data in each chapter. The second is to find a cyber-physical link between data and data-generating mechanisms, as data are always provided by some kind of data-generating process in the real world. The third goal is to provide an impetus for the concepts and methodology set forth in this book to be applied to socio-economic systems.
650 0 _aStatistics.
_9124796
650 0 _aEconomics
_xStatistics.
_9304057
650 1 4 _aStatistics.
_9124796
650 2 4 _aStatistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
_9410653
650 2 4 _aStatistics for Social Science, Behavorial Science, Education, Public Policy, and Law.
_9303278
650 2 4 _aStatistics for Business/Economics/Mathematical Finance/Insurance.
_9304058
710 2 _aSpringerLink (Online service)
_9143950
773 0 _tSpringer eBooks
856 4 0 _uhttp://dx.doi.org/10.1007/978-4-431-54974-1
912 _aZDB-2-SMA
999 _c403920