000 | 03566cam a2200517Ii 4500 | ||
---|---|---|---|
003 | OCoLC | ||
005 | 20240807150101.0 | ||
008 | 210730s2021 sz o 101 0 eng d | ||
020 | _a9783030830144 | ||
020 | _a3030830144 | ||
020 | _z9783030830137 | ||
020 | _z3030830136 | ||
041 | _aEnglish | ||
049 | _aMAIN | ||
072 | 7 |
_aUN _2bicssc |
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072 | 7 |
_aCOM021000 _2bisacsh |
|
072 | 7 |
_aUN _2thema |
|
072 | 7 |
_aUMT _2thema |
|
082 | 0 | 4 |
_a005.74 _223 _bHAM |
111 | 2 |
_aDATA (Conference) _n(9th : _d2020 : _cOnline) |
|
245 | 1 | 0 |
_aData management technologies and applications : _b9th International Conference, DATA 2020, Virtual Event, July 7-9, 2020, Revised Selected Papers / _cSlimane Hammoudi, Christoph Quix, Jorge Bernardino (eds.). |
246 | 3 | _aDATA 2020. | |
260 |
_aCham, Switzerland : _bSpringer, _c2021. |
||
300 |
_a1 online resource (xii, 319 pages) : _billustrations (some color). |
||
490 | 1 |
_aCommunications in Computer and Information Science, _x1865-0929 ; _v1446. |
|
500 | _aIncludes author index. | ||
505 | 0 | _aRemoving Operational Friction using Process Mining: Challenges Provided by the Internet of Production (IoP) -- Efficient Scheduling of Scientifc Workflow Actions in the Cloud based on Required Capabilities -- iTLM-Q: A Constraint-based Q-learning Approach for Intelligent Traffc Light Management -- Open Data in the Enterprise Context: Assessing Open Corporate Data's Readiness for Use -- A Data Science Approach to Explain a Complex Team Ball Game -- Intelligent Public Procurement Monitoring System Powered by Text Mining and Balanced Indicators -- Catalog Integration of Heterogeneous and Volatile Product Data -- Designing an Efficient Gradient Descent based Heuristic for Clusterwise Linear Regression for Large Datasets -- A Policy-agnostic Programming Language for the International Data Spaces -- Coreset-based Data Compression for Logistic Regression -- Product Classification using Partially Abbreviated Product Names, Brands and Dimensions -- An Environmental Study of French Neighbourhoods -- Phenomena Explanation from Text: Unsupervised Learning of Interpretable and Statistically Significant Knowledge. | |
506 | _aAccess restricted to subscribing institutions. | ||
520 | _aThis book constitutes the thoroughly refereed proceedings of the 9th International Conference on Data Management Technologies and Applications, DATA 2020, which was supposed to take place in Paris, France, in July 2020. Due to the Covid-19 pandemic the event was held virtually. The 14 revised full papers were carefully reviewed and selected from 70 submissions. The papers deal with the following topics: datamining; decision support systems; data analytics; data and information quality; digital rights management; big data; knowledge management; ontology engineering; digital libraries; mobile databases; object-oriented database systems; data integrity. | ||
650 | 0 | _aDatabase management | |
650 | 0 | _aInformation resources management | |
650 | 0 | _vCongresses. | |
650 | 0 | _vCongresses. | |
700 | 1 | _aHammoudi, Slimane, | |
700 | 1 | _aQuix, Christoph, | |
700 | 1 | _aBernardino, Jorge, | |
700 | 1 | _eeditor. | |
700 | 1 | _eeditor. | |
700 | 1 | _eeditor. | |
776 | 0 | 8 |
_cOriginal _z3030830136 _z9783030830137 _w(OCoLC)1258780107. |
830 | 0 |
_aCommunications in computer and information science ; _v1446. |
|
856 | 4 | 0 | _uhttps://ezproxy.lib.gla.ac.uk/login?url=https://link.springer.com/10.1007/978-3-030-83014-4 |
856 | 4 | 0 | _zConnect to e-book |
907 | _a.b37980038 | ||
942 |
_2ddc _cBOOKS |
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999 |
_c43340 _d43340 |