5th International Symposium on Data Mining Applications (Record no. 78699)
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| 000 -LEADER | |
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| fixed length control field | 03760nam a22005175i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-319-78753-4 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220801220550.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 180328s2018 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783319787534 |
| -- | 978-3-319-78753-4 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 006.3 |
| 245 10 - TITLE STATEMENT | |
| Title | 5th International Symposium on Data Mining Applications |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2018. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | XVI, 248 p. 98 illus. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Advances in Intelligent Systems and Computing, |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | 1. Use of Machine Learning for Rate Adaptation in MPEG-DASH for Quality of Experience Improvement -- 2. An Analysis of Traffic Accident in KSA,Riyadh by Using Clustering Techniques -- 3. The Effect of Vitamin B12 Deficiency on Blood Count Using Data Mining -- 4.Support of Existing Chatbot Development Framework for Arabic Language: A Brief Survey -- 5. Pattern Orientation in Arabic Corpus Annotation and a Proposed Pattern Ontology -- 6. A Benchmark Collection for Program Objectives Mapping to ABET Outcomes: Accreditation -- 7. Bug Reports Evolution in Open Source System -- 8. Analysis of Call Detail Records for Understanding Users Behavior and Anomaly Detection Using Neo4j -- 9.Empirical Analysis of Static Code Metrics for Predicting Risk Scores in Android Applications -- 10.Toward Stream Analysis of Software Debugging Data. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | The 5th Symposium on Data Mining Applications (SDMA 2018) provides valuable opportunities for technical collaboration among data mining and machine learning researchers in Saudi Arabia, Gulf Cooperation Council (GCC) countries and the Middle East region. This book gathers the proceedings of the SDMA 2018. All papers were peer-reviewed based on a strict policy concerning the originality, significance to the area, scientific vigor and quality of the contribution, and address the following research areas. • Applications: Applications of data mining in domains including databases, social networks, web, bioinformatics, finance, healthcare, and security. • Algorithms: Data mining and machine learning foundations, algorithms, models, and theory. • Text Mining: Semantic analysis and mining text in Arabic, semi-structured, streaming, multimedia data. • Framework: Data mining frameworks, platforms and systems implementation. • Visualizations: Data visualization and modeling. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Alenezi, Mamdouh. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Qureshi, Basit. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1007/978-3-319-78753-4 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Cham : |
| -- | Springer International Publishing : |
| -- | Imprint: Springer, |
| -- | 2018. |
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| -- | text |
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| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
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| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
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| -- | rda |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computational intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial intelligence. |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computational Intelligence. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial Intelligence. |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| -- | 2194-5365 ; |
| 912 ## - | |
| -- | ZDB-2-ENG |
| 912 ## - | |
| -- | ZDB-2-SXE |
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