| 000 | 00000nam u2200205 a 4500 | |
| 001 | 000046027887 | |
| 005 | 20200521110645 | |
| 006 | m d | |
| 007 | cr | |
| 008 | 200511s2016 sz a ob 100 0 eng d | |
| 020 | ▼a 9783319303154 | |
| 040 | ▼a 211009 ▼c 211009 ▼d 211009 | |
| 050 | 4 | ▼a Q342 |
| 082 | 0 4 | ▼a 006.3028557 ▼2 23 |
| 084 | ▼a 006.3028557 ▼2 DDCK | |
| 090 | ▼a 006.3028557 | |
| 245 | 0 0 | ▼a Machine intelligence and big data in industry ▼h [electronic resource] / ▼c Dominik Ryżko ... [et al.], editors. |
| 260 | ▼a Cham : ▼b Springer International Publishing : ▼b Imprint: Springer, ▼c c2016. | |
| 300 | ▼a 1 online resource (viii, 236 p.) : ▼b ill. (some col.). | |
| 490 | 1 | ▼a Studies in big data, ▼x 2197-6503 ; ▼v 19 |
| 500 | ▼a Title from e-Book title page. | |
| 504 | ▼a Includes bibliographical references. | |
| 505 | 0 | ▼a Text Processing -- Data Mining -- Text and Multimedia Processing -- Software -- Complex Systems, Internet of Things and Agent Systems. |
| 520 | ▼a This book presents valuable contributions devoted to practical applications of Machine Intelligence and Big Data in various branches of the industry. All the contributions are extended versions of presentations delivered at the Industrial Session the 6th International Conference on Pattern Recognition and Machine Intelligence (PREMI 2015) held in Warsaw, Poland at June 30- July 3, 2015, which passed through a rigorous reviewing process. The contributions address real world problems and show innovative solutions used to solve them. This volume will serve as a bridge between researchers and practitioners, as well as between different industry branches, which can benefit from sharing ideas and results. | |
| 530 | ▼a Issued also as a book. | |
| 538 | ▼a Mode of access: World Wide Web. | |
| 650 | 0 | ▼a Artifical intelligence ▼v Congresses. |
| 650 | 0 | ▼a Big data ▼v Congresses. |
| 700 | 1 | ▼a Ryżko, Dominik. |
| 711 | 2 | ▼a International Conference on Pattern Recognition and Machine Intelligence ▼n (6th : ▼d 2015 : ▼c Warsaw, Poland). |
| 830 | 0 | ▼a Studies in big data; ▼v 19. |
| 856 | 4 0 | ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-3-319-30315-4 |
| 945 | ▼a KLPA | |
| 991 | ▼a E-Book(소장) |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 중앙도서관/e-Book 컬렉션/ | 청구기호 CR 006.3028557 | 등록번호 E14021798 | 도서상태 대출불가(열람가능) | 반납예정일 | 예약 | 서비스 |
