LDR | | 01476nmm uu200373 4500 |
001 | | 000000332669 |
005 | | 20240805171224 |
008 | | 181129s2018 |||||||||||||||||c||eng d |
020 | |
▼a 9780438072763 |
035 | |
▼a (MiAaPQ)AAI10790347 |
035 | |
▼a (MiAaPQ)iastate:17301 |
040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
082 | 0 |
▼a 004 |
100 | 1 |
▼a Gholami, Hoda. |
245 | 12 |
▼a A Data-driven Situation-aware Framework for Predictive Analysis in Smart Environments. |
260 | |
▼a [S.l.] :
▼b Iowa State University.,
▼c 2018 |
260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
300 | |
▼a 88 p. |
500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B. |
500 | |
▼a Adviser: Carl K. Chang. |
502 | 1 |
▼a Thesis (Ph.D.)--Iowa State University, 2018. |
520 | |
▼a In the era of Internet of Things (IoT), it is vital for smart environments to be able to efficiently provide effective predictions of user's situations and take actions in a proactive manner to achieve the highest performance. However, there are |
590 | |
▼a School code: 0097. |
650 | 4 |
▼a Computer science. |
690 | |
▼a 0984 |
710 | 20 |
▼a Iowa State University.
▼b Computer Science. |
773 | 0 |
▼t Dissertation Abstracts International
▼g 79-11B(E). |
773 | |
▼t Dissertation Abstract International |
790 | |
▼a 0097 |
791 | |
▼a Ph.D. |
792 | |
▼a 2018 |
793 | |
▼a English |
856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14997563
▼n KERIS |
980 | |
▼a 201812
▼f 2019 |
990 | |
▼a 관리자 |