LEADER 04794nam 2200745 450 001 9910786896703321 005 20230125225541.0 010 $a0-262-32457-1 010 $a0-262-52983-1 010 $a0-262-32456-3 035 $a(CKB)3710000000216411 035 $a(EBL)3339840 035 $a(OCoLC)886539978 035 $a(SSID)ssj0001291489 035 $a(PQKBManifestationID)12573574 035 $a(PQKBTitleCode)TC0001291489 035 $a(PQKBWorkID)11248955 035 $a(PQKB)11283615 035 $a(CaBNVSL)mat06926931 035 $a(IDAMS)0b000064827e0bde 035 $a(IEEE)6926931 035 $a(Au-PeEL)EBL3339840 035 $a(CaPaEBR)ebr10904661 035 $a(CaONFJC)MIL635762 035 $a(MiAaPQ)EBC3339840 035 $a(PPN)184301904 035 $a(EXLCZ)993710000000216411 100 $a20151223d2014 uy 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aReality mining $eusing big data to engineer a better world /$fby Nathan Eagle and Kate Greene 210 1$aCambridge, Massachusetts :$cMIT Press,$d[2014] 210 2$a[Piscataqay, New Jersey] :$cIEEE Xplore,$d[2014] 215 $a1 online resource (207 p.) 300 $aIncludes index. 311 $a1-322-04511-9 311 $a0-262-02768-2 320 $aIncludes bibliographical references and index. 327 $aCover; Contents; Introduction; I The Individual (One Person); 1 Mobile Phones, Sensors, and Lifelogging: Collecting Data from Individuals While Considering Privacy; 2 Using Personal Data in a Privacy-Sensitive Way to Make a Person's Life Easier and Healthier; II The Neighborhood and the Organization (10 to 1,000 People); 3 Gathering Data from Small HeterogeneousGroups; 4 Engineering and Policy: Building More EfficientBusinesses, Enabling Hyperlocal Politics, LifeQueries, and Opportunity Searches; III The City (1,000 to 1,000,000 People) 327 $a5 Traffic Data, Crime Stats, and Closed-Circuit Cameras: Accumulating Urban Analytics6 Engineering and Policy: Optimizing Resource Allocation; IV The Nation (1 Million to 100 Million People); 7 Taking the Pulse of a Nation: Census, Mobile Phones, and Internet Giants; 8 Engineering and Policy: Addressing National Sentiment, Economic Deficits, and Disasters; V Reality Mining the World's Data (100 Million to 7 Billion People); 9 Gathering the World's Data: Global Census, International Travel and Commerce, and Planetary-Scale Communication; 10 Engineering a Safer and Healthier World; Conclusion 327 $aNotesIndex 330 $aBig Data is made up of lots of little data: numbers entered into cell phones, addresses entered into GPS devices, visits to websites, online purchases, ATM transactions, and any other activity that leaves a digital trail. Although the abuse of Big Data -- surveillance, spying, hacking -- has made headlines, it shouldn't overshadow the abundant positive applications of Big Data. In Reality Mining, Nathan Eagle and Kate Greene cut through the hype and the headlines to explore the positive potential of Big Data, showing the ways in which the analysis of Big Data ("Reality Mining") can be used to improve human systems as varied as political polling and disease tracking, while considering user privacy.Eagle, a recognized expert in the field, and Greene, an experienced technology journalist, describe Reality Mining at five different levels: the individual, the neighborhood and organization, the city, the nation, and the world. For each level, they first offer a nontechnical explanation of data collection methods and then describe applications and systems that have been or could be built. These include a mobile app that helps smokers quit smoking; a workplace "knowledge system"; the use of GPS, Wi-Fi, and mobile phone data to manage and predict traffic flows; and the analysis of social media to track the spread of disease. Eagle and Greene argue that Big Data, used respectfully and responsibly, can help people live better, healthier, and happier lives. 606 $aData mining 606 $aBig data 606 $aComputer networks$xSocial aspects 606 $aInformation science$xSocial aspects 606 $aInformation science$xStatistical methods 615 0$aData mining. 615 0$aBig data. 615 0$aComputer networks$xSocial aspects. 615 0$aInformation science$xSocial aspects. 615 0$aInformation science$xStatistical methods. 676 $a006.3/12 700 $aEagle$b Nathan$01567961 702 $aGreene$b Kate$f1979-, 801 0$bCaBNVSL 801 1$bCaBNVSL 801 2$bCaBNVSL 906 $aBOOK 912 $a9910786896703321 996 $aReality mining$93839761 997 $aUNINA