| LDR | | 02585cmm u2200445M 4500 |
| 001 | | 000000321436 |
| 003 | | OCoLC |
| 005 | | 20230613110826 |
| 006 | | m d |
| 007 | | cr ||||||||||| |
| 008 | | 200705s2020 ne o 000 0 eng d |
| 019 | |
▼a 1162815946 |
| 020 | |
▼a 164368079X
▼q (electronic bk.) |
| 020 | |
▼a 9781643680798
▼q (electronic bk.) |
| 020 | |
▼z 9781643680781 |
| 035 | |
▼a 2512584
▼b (N$T) |
| 035 | |
▼a (OCoLC)1162846576
▼z (OCoLC)1162815946 |
| 040 | |
▼a YDX
▼b eng
▼c YDX
▼d N$T
▼d EBLCP
▼d TEF
▼d 248032 |
| 049 | |
▼a MAIN |
| 050 | 4 |
▼a QA76.9.D343 |
| 082 | 04 |
▼a 006.3/12
▼2 23 |
| 100 | 1 |
▼a Welke, Pascal. |
| 245 | 10 |
▼a EFFICIENT FREQUENT SUBTREE MINING BEYOND FORESTS
▼h [electronic resource]. |
| 260 | |
▼a AMSTERDAM :
▼b IOS PRESS,
▼c 2020. |
| 300 | |
▼a 1 online resource |
| 336 | |
▼a text
▼b txt
▼2 rdacontent |
| 337 | |
▼a computer
▼b c
▼2 rdamedia |
| 338 | |
▼a online resource
▼b cr
▼2 rdacarrier |
| 505 | 0 |
▼a Intro -- Title Page -- Contents -- 1 Introduction -- 1.1 A Motivating Experiment -- 1.2 Contributions -- 1.3 Outline -- 1.4 Previously Published Work -- 2 Preliminaries -- 2.1 Notions and Notation -- 2.2 Frequent Connected Subgraph Mining -- 2.3 Embedding Computation -- 2.4 Datasets -- 3 Related Work -- 3.1 Algorithms for the SubgraphIsomorphism Problem -- 3.2 Algorithms for the FCSM Problem -- 4 Probabilistic Frequent Subtrees -- 4.1 Mining Probabilistic Frequent Subtrees -- 4.2 Experimental Evaluation -- 4.3 Summary -- 5 Boosted Probabilistic Frequent Subtrees |
| 505 | 8 |
▼a 5.1 An Efficient Embedding Operator for Trees -- 5.2 Mining Boosted Probabilistic Frequent Subtrees -- 5.3 Exact Frequent Subtree Mining -- 5.4 Summary and Open Questions -- 6 Fast Computation -- 6.1 Complete Embeddings into Subtree Feature Spaces -- 6.2 Min-Hashing in Subtree Feature Spaces -- 6.3 Experimental Evaluation -- 6.4 Summary and Open Questions -- 7 Conclusion -- 7.1 Discussion -- 7.2 Outlook -- A HamiltonianPath for Cactus Graphs -- A.1 Three Necessary Conditions -- A.2 A Linear Time Algorithm for Cactus Graphs -- A.3 Some Statistics for Real-World Datasets -- A.4 Summary |
| 505 | 8 |
▼a B Poissons Binomial Distribution -- Bibliography |
| 590 | |
▼a OCLC control number change |
| 650 | 0 |
▼a Data mining. |
| 655 | 0 |
▼a Electronic books. |
| 655 | 4 |
▼a Electronic books. |
| 856 | 40 |
▼3 EBSCOhost
▼u https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2512584 |
| 938 | |
▼a YBP Library Services
▼b YANK
▼n 301357898 |
| 938 | |
▼a ProQuest Ebook Central
▼b EBLB
▼n EBL6240697 |
| 938 | |
▼a EBSCOhost
▼b EBSC
▼n 2512584 |
| 990 | |
▼a 관리자 |
| 994 | |
▼a 92
▼b N$T |