000			03350nam a22003615i 4500
001			102330
003			DE-He213
005			20240111050138.0
007			cr nn 008mamaa
008			180328s2018 gw | s |||| 0|eng d
020			_a9783319787534
024	7		_a10.1007/978-3-319-78753-4 _2doi
040			_aES-MaUEC _bspa
050		4	_aQ342 _b2018 EB
245	1	0	_a5th International Symposium on Data Mining Applications _cedited by Mamdouh Alenezi, Basit Qureshi.
264		1	_aCham _bSpringer International Publishing _c2018
300			_a1 recurso en línea (XVI, 248 páginas 98 ilustraciones)
347			_atext file _bPDF
490	0		_aAdvances in Intelligent Systems and Computing _x2194-5357 _v753
505	0		_a1. 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	3		_aThe 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.
650		7	_9666321 _aIngeniería asistida por ordenador
650		7	_aInteligencia artificial _2embne _9413115
650		7	_aData mining _2embne _9162648
700	1		_aAlenezi, Mamdouh. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aQureshi, Basit. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iEdición impresa: _z9783319787527
776	0	8	_iEdición impresa: _z9783319787541
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-78753-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490	0		_aEngineering (Springer-11647)
988			_aEBSPRINGER_2018
998			_b12/2018 _dz _ea _feng _ggw _h0
999			_c102330 _d102330 _x1