000 | 04400nam a22006375i 4500 | ||
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001 | 978-3-319-78680-3 | ||
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007 | cr nn 008mamaa | ||
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_a10.1007/978-3-319-78680-3 _2doi |
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_aNew Frontiers in Mining Complex Patterns _h[electronic resource] : _b6th International Workshop, NFMCP 2017, Held in Conjunction with ECML-PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Revised Selected Papers / _cedited by Annalisa Appice, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras. |
250 | _a1st ed. 2018. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2018. |
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300 |
_aXII, 197 p. 57 illus. _bonline resource. |
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336 |
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337 |
_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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490 | 1 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v10785 |
|
505 | 0 | _aLearning Association Rules for Pharmacogenomic Studies -- Segment-Removal Based Stuttered Speech Remediation -- Identifying lncRNA-disease Relationships via Heterogeneous Clustering -- Density Estimators for Positive-Unlabeled Learning -- Combinatorial Optimization Algorithms to Mine a Sub-Matrix of Maximal Sum -- A Scaled-Correlation Based Approach for Defining and analyzing functional networks -- Complex Localization in the Multiple Instance Learning Context -- Integrating a Framework for Discovering Alternative App Stores in a Mobile App Monitoring Platform -- Usefulness of Unsupervised Ensemble Learning Methods for Time Series Forecasting of Aggregated or Clustered Load -- Phenotype Prediction with Semi-supervised Classification Trees -- Structuring the Output Space in Multi-label Classification by Using Feature Ranking -- Infinite Mixtures of Markov Chains -- Community-based Semantic Subgroup Discovery. | |
520 | _aThis book features a collection of revised and significantly extended versions of the papers accepted for presentation at the 6th International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2017, held in conjunction with ECML-PKDD 2017 in Skopje, Macedonia, in September 2017. The book is composed of five parts: feature selection and induction; classification prediction; clustering; pattern discovery; applications. The workshop was aimed at discussing and introducing new algorithmic foundations and representation formalisms in complex pattern discovery. Finally, it encouraged the integration of recent results from existing fields, such as Statistics, Machine Learning and Big Data Analytics. | ||
650 | 0 |
_aData mining. _93907 |
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650 | 0 |
_aComputer arithmetic and logic units. _936750 |
|
650 | 0 |
_aSocial sciences _xData processing. _983360 |
|
650 | 0 |
_aArtificial intelligence. _93407 |
|
650 | 1 | 4 |
_aData Mining and Knowledge Discovery. _9120692 |
650 | 2 | 4 |
_aArithmetic and Logic Structures. _936752 |
650 | 2 | 4 |
_aComputer Application in Social and Behavioral Sciences. _931815 |
650 | 2 | 4 |
_aArtificial Intelligence. _93407 |
700 | 1 |
_aAppice, Annalisa. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9120693 |
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700 | 1 |
_aLoglisci, Corrado. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9120694 |
|
700 | 1 |
_aManco, Giuseppe. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9120695 |
|
700 | 1 |
_aMasciari, Elio. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9120696 |
|
700 | 1 |
_aRas, Zbigniew W. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _9120697 |
|
710 | 2 |
_aSpringerLink (Online service) _9120698 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783319786797 |
776 | 0 | 8 |
_iPrinted edition: _z9783319786810 |
830 | 0 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v10785 _9120699 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-78680-3 |
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