LEADER 02121nam 2200529Ia 450 001 9910462236803321 005 20200520144314.0 010 $a0-8132-1966-3 035 $a(CKB)2670000000242112 035 $a(EBL)3134963 035 $a(SSID)ssj0000720452 035 $a(PQKBManifestationID)11477976 035 $a(PQKBTitleCode)TC0000720452 035 $a(PQKBWorkID)10668852 035 $a(PQKB)11343495 035 $a(MiAaPQ)EBC3134963 035 $a(OCoLC)813928727 035 $a(MdBmJHUP)muse24247 035 $a(Au-PeEL)EBL3134963 035 $a(CaPaEBR)ebr10603284 035 $a(OCoLC)922996891 035 $a(EXLCZ)992670000000242112 100 $a20111004d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aDynamic transcendentals$b[electronic resource] $etruth, goodness, and beauty from a Thomistic perspective /$fAlice M. Ramos 210 $aWashington, D.C. $cCatholic University of America Press$dc2012 215 $a1 online resource (274 p.) 300 $aDescription based upon print version of record. 311 $a0-8132-1965-5 320 $aIncludes bibliographical references and index. 327 $aA metaphysics of the truth of creation: foundation of the desire for God -- Aquinas on measure -- The affections and the life of the mind -- Beauty and the perfection of being -- Evil, order, and providence -- The experience of vulnerability and shame -- On the good and glory -- Human life and the world transfigured -- The good and the beautiful: why the nonvirtuous person can see the beauty of a good act -- Moral beauty and affective knowledge in Aquinas -- Art, truth, and morality: aesthetic self-forgetfulness versus recognition. 606 $aTranscendentals 608 $aElectronic books. 615 0$aTranscendentals. 676 $a111.8 700 $aRamos$b Alice$f1948-$01041789 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910462236803321 996 $aDynamic transcendentals$92465556 997 $aUNINA LEADER 03260oam 2200553 450 001 9910159456403321 005 20190911103516.0 010 $a1-5225-1751-0 024 7 $a10.4018/978-1-5225-1750-4 035 $a(OCoLC)967761377 035 $a(MiFhGG)GVRL02DC 035 $a(EXLCZ)993710000001018832 100 $a20161219h20172017 uy 0 101 0 $aeng 135 $aurun|---uuuua 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 00$aBig data applications in the telecommunications industry /$fYe Ouyang and Mantian Hu, editors 210 1$aHershey, PA :$cInformation Science Reference,$d[2017] 210 4$d?2017 215 $a1 online resource (xv, 216 pages) $cillustrations (chiefly color) 225 1 $aAdvances in wireless technologies and telecommunication (AWTT) book series 311 $a1-5225-1750-2 320 $aIncludes bibliographical references and index. 327 $aDetecting abnormal traffic in wireless networks using unsupervised models / Alexis Huet -- Evaluating wireless network accessibility performance via clustering-based model: an analytic methodology / Yan Wang, Zhensen Wu -- Modeling for time generating network: an advanced Bayesian model / Yirui Hu -- Identifying dissatisfied 4G customers from network indicators: a comparison between complaint and survey data / Xinling Dai -- Predicting 4G adoption with Apache Spark: a field experiment / Mantian (Mandy) Hu -- Mining of leaders in mobile telecom social networks / Mantian (Mandy) Hu -- Network-based targeting: big data application in mobile industry / Chu (Ivy) Dang -- Anomaly detection in wireless networks: an introduction to multi-cluster technique / Yirui Hu -- Continuous-time Markov chain-based reliability analysis for future cellular networks / Hasan Farooq, Md Salik Parwez, Ali Imran -- Spectral efficiency self-optimization through dynamic user clustering and beam steering / Md Salik Parwez [and 3 others]. 330 3 $a"This book is a comprehensive reference source for the latest scholarly material on the use of data analytics to study wireless networks and examines how these techniques can increase reliability and profitability, as well as network performance and connectivity. Featuring extensive coverage on relevant topics, such as accessibility, traffic data, and customer satisfaction"--Provided by publisher. 410 0$aResearch essentials. 410 0$aAdvances in wireless technologies and telecommunication (AWTT) book series. 606 $aNetwork performance (Telecommunication)$xReliability 606 $aBig data 610 $aAnomaly detection 610 $aCo-occurrence data modeling 610 $aConsumer feedback 610 $aCustomer satisfaction and retention 610 $aNetwork accessibility 610 $aSocial networks 610 $aTraffic data 615 0$aNetwork performance (Telecommunication)$xReliability. 615 0$aBig data. 676 $a384.30285/57 702 $aOuyang$b Ye$f1981- 702 $aHu$b Mantian$f1981- 801 0$bMiFhGG 801 1$bMiFhGG 906 $aBOOK 912 $a9910159456403321 996 $aBig data applications in the telecommunications industry$92888288 997 $aUNINA