scholarly article | Q13442814 |
P8978 | DBLP publication ID | conf/brain/PreussDPH14 |
P356 | DOI | 10.1007/978-3-319-09891-3_51 |
P50 | author | Andreas Holzinger | Q498177 |
P2093 | author name string | Matthias Dehmer | |
Michael Preuß | |||
Stefan Pickl | |||
P2860 | cites work | A note on two problems in connexion with graphs | Q21694527 |
Network biology: understanding the cell's functional organization | Q27861027 | ||
Collective dynamics of 'small-world' networks | Q27861064 | ||
Knowledge Discovery and interactive Data Mining in Bioinformatics--State-of-the-Art, future challenges and research directions | Q28654387 | ||
Information Indices with High Discriminative Power for Graphs | Q34185633 | ||
Ant system: optimization by a colony of cooperating agents | Q51650001 | ||
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A Formal Basis for the Heuristic Determination of Minimum Cost Paths | Q55899052 | ||
Evolution of Networks | Q56069103 | ||
Algorithm 97: Shortest path | Q56170978 | ||
Isomer discrimination by topological information approach | Q56864308 | ||
Multi-agent stochastic level set method in image segmentation | Q56926388 | ||
Darwin or Lamarck? Future Challenges in Evolutionary Algorithms for Knowledge Discovery and Data Mining | Q58886412 | ||
Multi-touch Graph-Based Interaction for Knowledge Discovery on Mobile Devices: State-of-the-Art and Future Challenges | Q58886448 | ||
On the Generation of Point Cloud Data Sets: Step One in the Knowledge Discovery Process | Q58886467 | ||
Consensus and Cooperation in Networked Multi-Agent Systems | Q59814097 | ||
Power-Law Distribution of the World Wide Web | Q60575181 | ||
P407 | language of work or name | English | Q1860 |
P921 | main subject | data mining | Q172491 |
knowledge extraction | Q1582085 | ||
P1104 | number of pages | 10 | |
P304 | page(s) | 564-573 | |
P577 | publication date | 2014-01-01 | |
P1433 | published in | Lecture Notes in Computer Science | Q924044 |
P1476 | title | On Terrain Coverage Optimization by Using a Network Approach for Universal Graph-Based Data Mining and Knowledge Discovery |
Q58886337 | Knowledge Discovery from Complex High Dimensional Data | cites work | P2860 |
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