Data-oriented analyses of ciliate foraging behaviors

Hydrobiologia

Volumn 666, Issue 1, 2011, Pages 223-237

  Chang, Yang Chi ^a   Yan, Jang Ching ^a   Hwang, Jiang Shiou ^b   Wu, Cheng Han ^b   Lee, Meng Tsung ^c  

^a NATIONAL SUN YAT SEN UNIVERSITY   (Taiwan)

^b NATIONAL TAIWAN OCEAN UNIVERSITY   (Taiwan)

^c NATIONAL KAOHSIUNG UNIVERSITY OF APPLIED SCIENCES   (Taiwan)

Author keywords

Ciliate; Clustering; Decision tree analysis; Locomotion index; Optimal foraging theory; Statistical analysis

Indexed keywords

ALGA; AQUATIC ECOSYSTEM; AQUATIC ORGANISM; CILIATE; CLUSTER ANALYSIS; COLONY STRUCTURE; DECIDUOUS TREE; FORAGING BEHAVIOR; LOCOMOTION; NATURAL SELECTION;

ALGAE; CILIOPHORA;

EID: 79953237864     PISSN: 00188158     EISSN: 15735117     Source Type: Journal    
DOI: 10.1007/s10750-010-0548-5     Document Type: Article

References (34)

1. Alvarez, M. C. & L. A. Fuiman, 2003. Exposure to atrazine at environmentally realistic levels affects survival potential of a marine fish larva. Poster presentation, SETAC meeting, Austin.
2. Baumont, G., F. Ménage, J. R. Schneiter, A. Spurgin & A. Vogel, 2000. Quantifying human and organizational factors in accident management using decision trees: the HORAAM method. Reliability Engineering and System Safety 70: 113-124.
3. Berry, M. J. & G. S. Linoff, 1999. Mastering Data Mining: The Art and Science of Customer Relationship Management. Wiley, New York.
4. Bohren, B. F., M. Hadzikadic & E. N. Hanley Jr., 1995. Extracting knowledge from large medical databases: an automated approach. Computers and Biomedical Research 28: 191-210.
5. Buskey, E. J., 1984. Swimming pattern as an indicator of the roles of copepod sensory systems in the recognition of food. Marine Biology 79: 165-175.
6. Chae, Y. M., H. S. Kim, K. C. Tark, H. J. Park & S. H. Ho, 2003. Analysis of healthcare quality indicator using data mining and decision support system. Expert Systems with Applications 24: 167-172.
7. Cox, B., T. Kislinger & A. Emili, 2005. Integrating gene and protein expression data: pattern analysis and profile mining. Methods 35: 303-314.
8. Chang, Y. C., P. C. Lai & M. T. Lee, 2007. An integrated approach for operational knowledge acquisition of refuse incinerators. Expert Systems with Applications 33: 413-419.
9. DeVantier, L. M., G. De'Ath, T. J. Done & E. Turak, 1998. Ecological assessment of a complex natural system: a case study from the Great Barrier Reef. Ecological Applications 8: 480-496.
10. Erlandsson, J. & V. Kostylev, 1995. Trail following, speed and fractal dimension of movement in a marine prosobranch, Littorina littorea, during a mating and a non-mating season. Marine Biology 122: 87-94.
11. Giordana, A. & F. Neri, 1995. Search-intensive concept induction. Evolutionary Computation 3: 375-416.
12. Greene, D. P. & S. F. Smith, 1993. Competition-based induction of decision models from examples. Machine Learning 13: 229-257.
13. Han, J. & M. Kamber, 2001. Data Mining: Concepts and Techniques. Morgan Kaufmann Publishers, Cambridge.
14. Jakobsen, H. H., E. Halvorsen, B. W. Hansen & A. W. Visser, 2005. Effects of prey motility and concentration on feeding in Acartia tonsa and Temora longicornis: the importance of feeding modes. Journal of Plankton Research 27: 775-785.
15. Jourdam, L., C. Dhaenens, E. G. Talbi & S. Gallina, 2002. A data mining approach to discover genetic and environmental factors involved in multifactorial diseases. Knowledge-Based Systems 15: 235-242.
16. Kirchner, K., K. H. Tölle & J. Krieter, 2004. The analysis of simulated sow herd datasets using decision tree technique. Computers and Electronics in Agriculture 42: 111-127.
17. Kudo, M. & J. Skalansky, 2000. Comparison of algorithms that select features for pattern classifiers. Pattern Recognition 33: 25-41.
18. Lindsay, S. M. & R. G. Vogt, 2004. Behavioral responses of newly hatched zebrafish (Danio rerio) to amino acid chemostimulants. Chemical Senses 29: 93-100.
19. MacQueen, J., 1967. Some methods for classification and analysis of multivariate observations. In Proceedings of 5th Berkeley symposium on mathematical statistics and probability, Vol. 1. University of California Press, Berkeley: 281-297.
20. Mandelbrot, B. B., 1982. The Fractal Geometry of Nature. W. H. Freeman and Company, San Francisco.
21. Mandelbrot, B. B., 1967. How long is the Coast of Britain? Statistical self-similarity and fractal dimension. Science 155: 636-638.
22. Mitchell, R. S., R. A. Sherlock & L. A. Smith, 1996. An investigation into the use of machine learning for determining estrus in cows. Computers and Electronics in Agriculture 15: 195-213.
23. Nagelkerken, I., G. Velde, M. W. Gorissen, G. J. Meijer, T. Hof & C. Hartog, 2000. Importance of mangroves, seagrass beds and the shallow coral reef as a nursery for important coral reef fishes, using a visual census technique. Estuarine, Coastal and Shelf Science 51: 31-44.
24. Pasternak, Z., B. Blasius, A. Abelson & Y. Achituv, 2006. Host-finding behaviour and navigation capabilities of symbiotic zooxanthellae. Coral Reefs 25: 201-207.
25. Quinlan, J. R., 1986. Induction of decision trees. Machine Learning 1: 81-106.
26. Seuront, L., J. S. Hwang, L. C. Tseng, F. G. Schmitt, S. Souissi & C. K. Wong, 2004. Individual variability in the swimming behavior of the sub-tropical copepod Oncaea venusta (Copepoda: Poecilostomatoida). Marine Ecology Progress Series 283: 199-217.
27. Traniello, J. F. A., 1989. Foraging strategies of ants. Annual Review of Entomology 34: 191-210.
28. Ueda, T., S. Koya & Y. K. Maruyama, 1999. Dynamic patterns in the locomotion and feeding behaviors by the placozoan Trichoplax adhaerence. BioSystems 54: 65-70.
29. Vandromme, P., F. G. Schmitt, S. Souissi, E. J. Buskey, J. R. Strickler, C.-H. Wu & J.-S. Hwang, 2010. Symbolic analysis of plankton swimming trajectories: case study of Strobilidium sp. (Protista) helical walking under various food conditions. Zoological Studies 49(3): 289-303.
30. Visser, A. W. & U. H. Thygesen, 2003. Random motility of plankton: diffusive and aggregative contributions. Jounral of Plankton Research 25: 1157-1168.
31. Visser, A. W. & T. Kiørboe, 2006. Plankton motility patterns and encounter rates. Oecologia 148: 538-546.
32. Witten, I. H. & E. Frank, 2005. Data Mining: Practical Machine Learning Tools and Techniques, 2nd ed. Morgan Kaufmann, San Francisco.
33. Wu, C.-H., H.-U. Dahms, E. J. Buskey, J. R. Strickler & J.-S. Hwang, 2010. Behavioral interactions of the copepod Temora turbinata with potential ciliate prey. Zoological Studies 49(2): 157-168.
34. Yen, J., 1988. Directionality and swimming speeds in predator-prey and male-female interactions of Euchaeta rimana, a subtropical marine copepod. Bulletin of Marine Science 43: 395-403.