Please use this identifier to cite or link to this item:
http://localhost/handle/Hannan/970
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Appice, Annalisa. ; | en_US |
| dc.contributor.author | Loglisci, Corrado. ; | en_US |
| dc.contributor.author | Manco, Giuseppe. ; | en_US |
| dc.contributor.author | Masciari, Elio. ; | en_US |
| dc.contributor.author | Ras, Zbigniew W. ; | en_US |
| dc.date.accessioned | 2013 | en_US |
| dc.date.accessioned | 2020-05-17T08:24:00Z | - |
| dc.date.available | 2020-05-17T08:24:00Z | - |
| dc.date.issued | 2018 | en_US |
| dc.identifier.isbn | 9783319786803 ; | en_US |
| dc.identifier.isbn | 9783319786797 (print) ; | en_US |
| dc.identifier.uri | http://localhost/handle/Hannan/970 | - |
| dc.description | SpringerLink (Online service) ; | en_US |
| dc.description | Printed edition: ; 9783319786797. ; | en_US |
| dc.description | en_US | |
| dc.description | en_US | |
| dc.description | en_US | |
| dc.description | en_US | |
| dc.description.abstract | This 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. ; | en_US |
| dc.description.statementofresponsibility | edited by Annalisa Appice, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras. | en_US |
| dc.description.tableofcontents | Learning 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. ; | en_US |
| dc.format.extent | XII, 197 p. 57 illus. ; online resource. ; | en_US |
| dc.publisher | Springer International Publishing : | en_US |
| dc.publisher | Imprint: Springer, | en_US |
| dc.relation.ispartofseries | Lecture Notes in Computer Science, ; 0302-9743 ; ; 10785. ; | en_US |
| dc.relation.ispartofseries | Lecture Notes in Computer Science, ; 0302-9743 ; ; 10785. ; | en_US |
| dc.relation.haspart | 9783319786797.pdf | en_US |
| dc.subject | Computer Science | en_US |
| dc.subject | Arithmetic and logic units, Computer. ; | en_US |
| dc.subject | Data Mining | en_US |
| dc.subject | Artificial Intelligence | en_US |
| dc.subject | Application Software | en_US |
| dc.subject | Computer Science | en_US |
| dc.subject | Data Mining and Knowledge Discovery | en_US |
| dc.subject | Arithmetic and Logic Structures. ; | en_US |
| dc.subject | Computer Appl. in Social and Behavioral Sciences. ; | en_US |
| dc.subject | Artificial Intelligence and Robotics | en_US |
| dc.subject.ddc | 006.312 ; 23 ; | en_US |
| dc.subject.lcc | QA76.9.D343 ; | en_US |
| dc.title | New Frontiers in Mining Complex Patterns | en_US |
| dc.title.alternative | 6th International Workshop, NFMCP 2017, Held in Conjunction with ECML-PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Revised Selected Papers / | en_US |
| dc.type | Book | en_US |
| dc.publisher.place | Cham : | en_US |
| Appears in Collections: | مدیریت فناوری اطلاعات | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 9783319786797.pdf | 14.43 MB | Adobe PDF |  Preview File |
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Appice, Annalisa. ; | en_US |
| dc.contributor.author | Loglisci, Corrado. ; | en_US |
| dc.contributor.author | Manco, Giuseppe. ; | en_US |
| dc.contributor.author | Masciari, Elio. ; | en_US |
| dc.contributor.author | Ras, Zbigniew W. ; | en_US |
| dc.date.accessioned | 2013 | en_US |
| dc.date.accessioned | 2020-05-17T08:24:00Z | - |
| dc.date.available | 2020-05-17T08:24:00Z | - |
| dc.date.issued | 2018 | en_US |
| dc.identifier.isbn | 9783319786803 ; | en_US |
| dc.identifier.isbn | 9783319786797 (print) ; | en_US |
| dc.identifier.uri | http://localhost/handle/Hannan/970 | - |
| dc.description | SpringerLink (Online service) ; | en_US |
| dc.description | Printed edition: ; 9783319786797. ; | en_US |
| dc.description | en_US | |
| dc.description | en_US | |
| dc.description | en_US | |
| dc.description | en_US | |
| dc.description.abstract | This 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. ; | en_US |
| dc.description.statementofresponsibility | edited by Annalisa Appice, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras. | en_US |
| dc.description.tableofcontents | Learning 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. ; | en_US |
| dc.format.extent | XII, 197 p. 57 illus. ; online resource. ; | en_US |
| dc.publisher | Springer International Publishing : | en_US |
| dc.publisher | Imprint: Springer, | en_US |
| dc.relation.ispartofseries | Lecture Notes in Computer Science, ; 0302-9743 ; ; 10785. ; | en_US |
| dc.relation.ispartofseries | Lecture Notes in Computer Science, ; 0302-9743 ; ; 10785. ; | en_US |
| dc.relation.haspart | 9783319786797.pdf | en_US |
| dc.subject | Computer Science | en_US |
| dc.subject | Arithmetic and logic units, Computer. ; | en_US |
| dc.subject | Data Mining | en_US |
| dc.subject | Artificial Intelligence | en_US |
| dc.subject | Application Software | en_US |
| dc.subject | Computer Science | en_US |
| dc.subject | Data Mining and Knowledge Discovery | en_US |
| dc.subject | Arithmetic and Logic Structures. ; | en_US |
| dc.subject | Computer Appl. in Social and Behavioral Sciences. ; | en_US |
| dc.subject | Artificial Intelligence and Robotics | en_US |
| dc.subject.ddc | 006.312 ; 23 ; | en_US |
| dc.subject.lcc | QA76.9.D343 ; | en_US |
| dc.title | New Frontiers in Mining Complex Patterns | en_US |
| dc.title.alternative | 6th International Workshop, NFMCP 2017, Held in Conjunction with ECML-PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Revised Selected Papers / | en_US |
| dc.type | Book | en_US |
| dc.publisher.place | Cham : | en_US |
| Appears in Collections: | مدیریت فناوری اطلاعات | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 9783319786797.pdf | 14.43 MB | Adobe PDF | Preview File |
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Appice, Annalisa. ; | en_US |
| dc.contributor.author | Loglisci, Corrado. ; | en_US |
| dc.contributor.author | Manco, Giuseppe. ; | en_US |
| dc.contributor.author | Masciari, Elio. ; | en_US |
| dc.contributor.author | Ras, Zbigniew W. ; | en_US |
| dc.date.accessioned | 2013 | en_US |
| dc.date.accessioned | 2020-05-17T08:24:00Z | - |
| dc.date.available | 2020-05-17T08:24:00Z | - |
| dc.date.issued | 2018 | en_US |
| dc.identifier.isbn | 9783319786803 ; | en_US |
| dc.identifier.isbn | 9783319786797 (print) ; | en_US |
| dc.identifier.uri | http://localhost/handle/Hannan/970 | - |
| dc.description | SpringerLink (Online service) ; | en_US |
| dc.description | Printed edition: ; 9783319786797. ; | en_US |
| dc.description | en_US | |
| dc.description | en_US | |
| dc.description | en_US | |
| dc.description | en_US | |
| dc.description.abstract | This 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. ; | en_US |
| dc.description.statementofresponsibility | edited by Annalisa Appice, Corrado Loglisci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras. | en_US |
| dc.description.tableofcontents | Learning 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. ; | en_US |
| dc.format.extent | XII, 197 p. 57 illus. ; online resource. ; | en_US |
| dc.publisher | Springer International Publishing : | en_US |
| dc.publisher | Imprint: Springer, | en_US |
| dc.relation.ispartofseries | Lecture Notes in Computer Science, ; 0302-9743 ; ; 10785. ; | en_US |
| dc.relation.ispartofseries | Lecture Notes in Computer Science, ; 0302-9743 ; ; 10785. ; | en_US |
| dc.relation.haspart | 9783319786797.pdf | en_US |
| dc.subject | Computer Science | en_US |
| dc.subject | Arithmetic and logic units, Computer. ; | en_US |
| dc.subject | Data Mining | en_US |
| dc.subject | Artificial Intelligence | en_US |
| dc.subject | Application Software | en_US |
| dc.subject | Computer Science | en_US |
| dc.subject | Data Mining and Knowledge Discovery | en_US |
| dc.subject | Arithmetic and Logic Structures. ; | en_US |
| dc.subject | Computer Appl. in Social and Behavioral Sciences. ; | en_US |
| dc.subject | Artificial Intelligence and Robotics | en_US |
| dc.subject.ddc | 006.312 ; 23 ; | en_US |
| dc.subject.lcc | QA76.9.D343 ; | en_US |
| dc.title | New Frontiers in Mining Complex Patterns | en_US |
| dc.title.alternative | 6th International Workshop, NFMCP 2017, Held in Conjunction with ECML-PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Revised Selected Papers / | en_US |
| dc.type | Book | en_US |
| dc.publisher.place | Cham : | en_US |
| Appears in Collections: | مدیریت فناوری اطلاعات | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 9783319786797.pdf | 14.43 MB | Adobe PDF | Preview File |