New Frontiers in Mining Complex Patterns (Record no. 57637)
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| 000 -LEADER | |
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| fixed length control field | 04872nam a22006015i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-642-37382-4 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20200421112225.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 130326s2013 gw | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9783642373824 |
| -- | 978-3-642-37382-4 |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 006.312 |
| 245 10 - TITLE STATEMENT | |
| Title | New Frontiers in Mining Complex Patterns |
| Sub Title | First International Workshop, NFMCP 2012, Held in Conjunction with ECML/PKDD 2012, Bristol, UK, September 24, 2012, Rivesed Selected Papers / |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | X, 231 p. 57 illus. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Lecture Notes in Computer Science, |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | Learning with Configurable Operators and RL-Based Heuristics.- Reducing Examples in Relational Learning with Bounded-Treewidth Hypotheses.- Mining Complex Event Patterns in Computer Networks -- Learning in the Presence of Large Fluctuations: A Study of Aggregation and Correlation -- Machine Learning as an Objective Approach to Understanding Music.- Pair-Based Object-Driven Action Rules -- Effectively Grouping Trajectory Streams.- Healthcare Trajectory Mining by Combining Multidimensional Component and Itemsets -- Graph-Based Approaches to Clustering Network-Constrained Trajectory Data -- Finding the Most Descriptive Substructures in Graphs with Discrete and Numeric Labels.- Learning in Probabilistic Graphs Exploiting Language-Constrained Patterns.- Improving Robustness and Flexibility of Concept Taxonomy Learning from Text.- Discovering Evolution Chains in Dynamic Networks.- Supporting Information Spread in a Social Internetworking Scenario.- Context-Aware Predictions on Business Processes: An Ensemble-Based Solution. Reducing Examples in Relational Learning with Bounded-Treewidth Hypotheses.- Mining Complex Event Patterns in Computer Networks -- Learning in the Presence of Large Fluctuations: A Study of Aggregation and Correlation -- Machine Learning as an Objective Approach to Understanding Music.- Pair-Based Object-Driven Action Rules -- Effectively Grouping Trajectory Streams.- Healthcare Trajectory Mining by Combining Multidimensional Component and Itemsets -- Graph-Based Approaches to Clustering Network-Constrained Trajectory Data -- Finding the Most Descriptive Substructures in Graphs with Discrete and Numeric Labels.- Learning in Probabilistic Graphs Exploiting Language-Constrained Patterns.- Improving Robustness and Flexibility of Concept Taxonomy Learning from Text.- Discovering Evolution Chains in Dynamic Networks.- Supporting Information Spread in a Social Internetworking Scenario.- Context-Aware Predictions on Business Processes: An Ensemble-Based Solution. . |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | This book constitutes the thoroughly refereed conference proceedings of the First International Workshop on New Frontiers in Mining Complex Patterns, NFMCP 2012, held in conjunction with ECML/PKDD 2012, in Bristol, UK, in September 2012. The 15 revised full papers were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on mining rich (relational) datasets, mining complex patterns from miscellaneous data, mining complex patterns from trajectory and sequence data, and mining complex patterns from graphs and networks. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Appice, Annalisa. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Ceci, Michelangelo. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Loglisci, Corrado. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Manco, Giuseppe. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Masciari, Elio. |
| 700 1# - AUTHOR 2 | |
| Author 2 | Ras, Zbigniew W. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | http://dx.doi.org/10.1007/978-3-642-37382-4 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Berlin, Heidelberg : |
| -- | Springer Berlin Heidelberg : |
| -- | Imprint: Springer, |
| -- | 2013. |
| 336 ## - | |
| -- | text |
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| 337 ## - | |
| -- | computer |
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| -- | rdamedia |
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| -- | online resource |
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| 347 ## - | |
| -- | text file |
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| -- | rda |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer science. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Database management. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Data mining. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Information storage and retrieval. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial intelligence. |
| 650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Computer Science. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Data Mining and Knowledge Discovery. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Database Management. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Information Storage and Retrieval. |
| 650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| -- | Artificial Intelligence (incl. Robotics). |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| -- | 0302-9743 ; |
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