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Original Articles

A Novel Crossing Minimization Ranking Method

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REFERENCES

  • Abdullah, A., and A. Hussain. 2006. A new biclustering technique based on crossing minimization. Neurocomputing 69(16):1882 –1896.
  • Abdullah, A., and A. Hussain. 2007. Using biclustering for automatic attribute selection to enhance global visualization. In Pixelization paradigm, 35 –47. Berlin, Heidelberg: Springer.
  • Abdullah, A., A. Hussain, and A. Barnawi. 2012. Analysis of pesticide application practices using an intelligent agriculture decision support system ADSS. In Advances in brain inspired cognitive systems, 382 –391. Berlin, Heidelberg: Springer.
  • Agarwal, S., T. Graepel, R. Herbrich, S. Har-Peled, and D. Roth. 2005. Generalization bounds for the area under the ROC curve. Journal of Machine Learning Research 6:393 –425.
  • Ahlers, J. 1999. The EU existing chemicals regulation. Environmental Science and Pollution Research 6(3):127 –129.
  • Aichholzer, O., and F. Aurenhammer. 1996. Classifying hyperplanes in hypercubes. SIAM Journal on Discrete Mathematics 9(2):225 –232.
  • Biedl, T., F. J. Brandenburg, and X. Deng. 2006. Crossings and permutations. In Graph drawing, 1 –12. Berlin, Heidelberg: Springer.
  • Bliss, C. I. 1939. The toxicity of poisons applied jointly. Annals of Applied Biology 26(3):585 –615.
  • Brüggemann, R., and U. Drescher-Kaden. 2003. Introduction to the model-based assessment of environmental chemicals – Data Assessment, propagation, behavior, and effective evaluation. Berlin: Springer.
  • Brüggemann, R., and H. G. Bartel. 1999. A theoretical concept to rank environmentally significant chemicals. Journal of Chemical Information and Computer Sciences 39(2):211 –217.
  • Brüggemann, R., and G. P. Patil. 2010. Multicriteria prioritization and partial order in environmental sciences. Environmental and Ecological Statistics 17(4):383 –410.
  • Brüggemann, R., and G. P. Patil. 2011. Ranking and prioritization for multi-indicator systems. Environmental and Ecological Statistics 5, New York, NY: Springer Science.
  • Brüggemann, R., E. Halfon, and C. Bücherl. 1995. Theoretical base of the program “Hasse” (GSF, Technical Report, Bericht 20/95, Neuherberg, Germany).
  • Cai, X., W. Li, Y. Ouyang, and H. Yan. 2010. Simultaneous ranking and clustering of sentences: A reinforcement approach to multi-document summarization. In Proceedings of the 23rd International Conference on Computational Linguistics, 134 –142. Cambridge, MA: The MIT Press/Association for Computational Linguistics.
  • Cao, Y., J. Xu, T. Y. Liu, H. Li, Y. Huang, and H. W. Hon. 2006. Adapting ranking SVM to document retrieval. In Proceedings of the 29th annual international ACM SIGIR conference on research and development in information retrieval, 186 –193. New York, NY: ACM.
  • Chakraborty, D., D. M. Korat, and S. Deb. 2011. Relative ovicidal and larvicidal toxicity of eleven insecticides to the green lacewing (Chrysoperla zastrowi silleni [Esben-Peterson]). In Insect pest management, A current scenario, ed. D, P. Ambrose, 107 –110. Palayamkottai, India: Entomology Research Unit, St. Xavier’s College.
  • Cortes, C., and M. Mohri. 2004. AUC optimization vs. error rate minimization. Advances in Neural Information Processing Systems 16(16):313 –320.
  • Cossock, D., and T. Zhang. 2006. Subset ranking using regression. In Learning theory, 605 –619. Berlin, Heidelberg: Springer.
  • Crickmore, N., D. R. Zeigler, J. Feitelson, E. Schnepf, J. Van Rie, D. Lereclus,.. and D. H. Dean. 1998. Revision of the nomenclature for the Bacillus thuringiensis pesticidal crystal proteins. Microbiology and Molecular Biology Reviews 62(3):807 –813.
  • Davis, G. A., M. Swanson, and S. Jones. 1994. Comparative evaluation of chemical ranking and scoring methodologies (Technical Report EPA Order No. 3N-3545-NAEX). Knoxville, TN: University of Tennessee Center for Clean Products and Clean Technologies for the United States Environmental Protection Agency.
  • Day, W. H., and H. Edelsbrunner. 1984. Efficient algorithms for agglomerative hierarchical clustering methods. Journal of Classification 1(1):7 –24.
  • De Loof, K., B. De Baets, and H. De Meyer. 2011. Approximation of average ranks in posets. Business Media Communications in Mathematical and in Computer Chemistry 66:219 –229.
  • De Loof, K., B. De Baets, H. De Meyer, and R. Bruggemann. 2008. A hitchhikers guide to poset ranking. Combinatorial Chemistry and High Throughput Screening 11(9):734 –744.
  • De Loof, K., H. De Meyer, and B. De Baets. 2006. Exploiting the lattice of ideals representation of a poset. Fundamenta Informaticae 71(2):309 –321.
  • Doignon, J. P., and J. C. Falmagne. 1999. Knowledge spaces. Heidelberg: Springer.
  • Eades, P., and N. Wormald. 1986. The median heuristic for drawing 2-layers networks (Technical Report 69). Brisbane, Australia: Department of Computer Science, University of Queensland.
  • Environmental Justice Foundation and Pesticide Action Network-UK. 2007. The deadly chemicals in cotton. London: Author.
  • Freund, Y., R. Iyer, R. E. Schapire, and Y. Singer. 2003. An efficient boosting algorithm for combining preferences. The Journal of Machine Learning Research 4:933 –969.
  • Fürnkranz, J., and E. Hüllermeier. 2011. Preference learning: An introduction. In Preference learning, 1 –17. Berlin, Heidelberg: Springer.
  • Garey, M. R., and D. S. Johnson. 1983. Crossing number is NP-complete. SIAM Journal on Algebraic Discrete Methods 4(3):312 –316.
  • Garg, A., and R. Tamassia. 1995. On the computational complexity of upward and rectilinear planarity testing. In Graph drawing, 286 –297. Berlin, Heidelberg: Springer.
  • Giannopoulos, G., U. Brefeld, T. Dalamagas, and T. Sellis. 2011. Learning to rank user intent. In Proceedings of the 20th ACM international conference on information and knowledge management, 195 –200. New York, NY: ACM.
  • Gramatica, P., E. Papa, and B. Francesca. 2004. Ranking and classification of non-ionic organic pesticides for environmental distribution: A qsar approach. International Journal of Environmental Analytical Chemistry 84(1–3):65 –74.
  • Gulli, A. 2006. On two web IR boosting tools: Clustering and ranking (Doctoral dissertation, PhD thesis, Dipartimento di Informatica, Universit ‘a degli Studi di Pisa, Italy).
  • Gutin, G., A. Rafiey, S. Szeider, and A. Yeo. 2007. The linear arrangement problem parameterized above guaranteed value. Theory of Computing Systems 41(3):521 –538.
  • Halfon, E., S. Galassi, R. Brüggemann, and A. Provini. 1996. Selection of priority properties to assess environmental hazard of pesticides. Chemosphere 33(8):1543 –1562.
  • Harris, C. R., and B. T. Bowman. 1981. The relationship of insecticide solubility in water to toxicity in soil. Journal of Economic Entomology 74(2):210 –212.
  • Jiang, J. Y., L. W. Lee, and S. J. Lee. 2011. RANKOM: A query-dependent ranking system for information retrieval. International Journal Of Innovative Computing Information And Control 7(12):6739 –6756.
  • John, G. H., R. Kohavi, and K. Pfleger. 1994. Irrelevant features and the subset selection problem. In ICML ( vol. 94), 121 –129. New Brunswick, NJ: Morgan Kaufman.
  • Jünger, M. and P. Mutzel. 1997. 2-layer straight-line crossing minimization: Performance of exact and heuristic algorithms. Journal of Graph Algorithms and Applications 1(1):1 –25.
  • Juraske, R., A. Antón, F. Castells, and M. A. Huijbregts. 2007. PestScreen: A screening approach for scoring and ranking pesticides by their environmental and toxicological concern. Environment International 33(7):886 –893.
  • Kabak, O., F. Ulengin, and S. Onsel. 2008. A new ranking methodology based on hierarchical cluster analysis. In 3rd international conference on intelligent systems and knowledge engineering, 2008 (ISKE 2008), 1:360 –365. IEEE.
  • Kluger, Y., R. Basri, J. T. Chang, and M. Gerstein. 2003. Spectral biclustering of microarray data: Co-clustering genes and conditions. Genome Research 13:703 –716.
  • Laguna, M., R. Martí, and V. Valls. 1997. Arc crossing minimization in hierarchical digraphs with tabu search. Computers and Operations Research 24(12):1175 –1186.
  • Levitan, L. 1997. Pesticide impact assessment systems based on indexing or ranking pesticides by environmental impact. Revised Draft OECD Background Paper. Copenhagen, Denmark.
  • Lin, C. Y., and Y. W. Chang. 2011. Cross-contamination aware design methodology for pin-constrained digital microfluidic biochips. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 30(6):817 –828.
  • Liu, X., and W. B. Croft. 2004. Cluster-based retrieval using language models. In Proceedings of the 27th annual international ACM SIGIR conference on research and development in information retrieval, 186 –193. New York, NY: ACM.
  • Luttrell, W. E., W. W. Jederberg, and K. R. Still, Eds. 2008. Toxicology principles for the industrial hygienist. Fairfax, VA: American industrial Hygiene Association.
  • Mäkinen, E., and H. Siirtola. 2005. The barycenter heuristic and the reorderable matrix. Informatica Slovenia 29(3):357 –364.
  • May, M., and K. Szkatula. 1988. On the bipartite crossing number. Control and Cybernetics 17(1):85 –97.
  • McDaniel, J., H. Harris, R. Hyat, B. Yaylor, and G. Noguera. 2006. Maryland pesticides statistics for 2004, 1 –14. Maryland, USA: Department of Agriculture.
  • Möbus, C., and H. Seebold. 2005. A greedy knowledge acquisition method for the rapid prototyping of Bayesian belief networks. In Artificial intelligence in education, 875 –877. Amsterdam, The Netherlands: IOS Press.
  • Newman, A. 1995. Ranking pesticides by environmental impact. Environmental Science and Technology 29(7):324A –326A.
  • Newton, M., O. Sýkora, and I. Vrt’o. 2002. Two new heuristics for two-sided bipartite graph drawing. In Graph drawing, 312 –319. Berlin, Heidelberg: Springer.
  • Park, S., J. H. Lee, D. H. Kim, and C. M. Ahn. 2007. Multi-document summarization using weighted similarity between topic and clustering-based non-negative semantic feature. In Advances in Data and Web Management, 108 –115. Berlin, Heidelberg: Springer.
  • Qazvinian, V., and D. R. Radev. 2008. Scientific paper summarization using citation summary networks. In Proceedings of the 22nd international conference on computational linguistics ( vol. 1), 689 –696. Manchester, UK: Association for Computational Linguistics.
  • Restrepo, G., and R. Brüggemann. 2005. Ranking regions using cluster analysis, Hasse diagram technique and topology. In Proceedings of the 9th WSEAS international conference on computers, (ICCOMP’05), Article No. 36. Stevens Point, WI, USA: World Scientific and Engineering Academy and Society.
  • Restrepo, G., M. Weckert, R. Brüggemann, S. Gerstmann, and H. Frank. 2008. Ranking of refrigerants. Environmental Science and Technology 42(8):2925 –2930.
  • Rosario, G. E., E. A. Rundensteiner, D. C. Brown, M. O. Ward, and S. Huang. 2004. Mapping nominal values to numbers for effective visualization. Information Visualization 3(2):80 –95.
  • Rudin, C. 2006. Ranking with a p-norm push. In Proceedings of COLT 2006, Lecture Notes in Computer Science 4005: 589 –604, ed. P. Auer and R. Meir. Berlin: Springer.
  • Seip, K. L. 1994. Restoring water quality in the metal polluted Soerfjorden, Norway. Ocean and Coastal Management 22(1):19 –43.
  • Shahrokhi, F., O. Sýkora, L. A. Székely, and I. Vrt’o. 2001. On bipartite drawings and the linear arrangement problem. SIAM Journal on Computing 30(6):1773 –1789.
  • Sugiyama, K., S. Tagawa, and M. Toda. 1981. Methods for visual understanding of hierarchical system structures. IEEE Transactions on Systems, Man and Cybernetics 11(2):109 –125.
  • Sun, Y., J. Han, P. Zhao, Z. Yin, H. Cheng, and T. Wu. 2009. Rankclus: Integrating clustering with ranking for heterogeneous information network analysis. In Proceedings of the 12th international conference on extending database technology: Advances in database technology, 565 –576. New York, NY: ACM.
  • US Environmental Protection Agency, Risk Assessment Forum Technical Panel. 2000. Supplementary guidance for conducting health risk assessment of chemical mixtures. Washington, DC: Office of EPA/630/R–00/002.
  • Teuschler, L. K. 2007. Deciding which chemical mixtures risk assessment methods work best for what mixtures. Toxicology and Applied Pharmacology 223(2):139 –147.
  • Trotter, W. T. 2001. Combinatorics and partially ordered sets: Dimension theory ( Vol. 6). Baltimore, MD: Johns Hopkins University Press.
  • Usunier, N., V. Truong, M. Amini, and P. Gallinari. 2005. Ranking with unlabeled data: A first study. In Proceedings of NIPS’05 workshop on learning to rank. Whistler, Canada: Massachusetts Institute of Technology.
  • Valls, V., R. Martí, and P. Lino. 1996. A branch and bound algorithm for minimizing the number of crossing arcs in bipartite graphs. European Journal of Operational Research 90(2):303 –319.
  • Vittaut, J. N., and P. Gallinari. 2006. Machine learning ranking for structured information retrieval. In Advances in information retrieval. Lecture Notes in Computer Science 3936:338 –349. Berlin: Springer.
  • Wan, X., and J. Yang. 2006. Improved affinity graph based multi-document summarization. In Proceedings of the human language technology conference of the NAACL, Companion volume: Short papers, 181 –184. Madison, WI: Omnipress/Association for Computational Linguistics.
  • Wang, D., T. Li, S. Zhu, and C. Ding. 2008. Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization. In Proceedings of the 31st annual international ACM SIGIR conference on research and development in information retrieval, 307 –314. New York, NY: ACM.
  • Wang, D., S. Zhu, T. Li, Y. Chi, and Y. Gong. 2008. Integrating clustering and multi-document summarization to improve document understanding. In Proceedings of the 17th ACM conference on information and knowledge management, 1435 –1436. New York, NY: ACM.
  • Ward, J. H. Jr. 1963. Hierarchical grouping to optimize an objective function. Journal of the American Statistical Association 58:236 –244.
  • Wilson, A. G. L., J. J. Basinski, and N. J. Thomson. 1972. Pests, crop damage and control practices with irrigated cotton in a tropical environment. Cotton Growing Review 49(4):308 –334.
  • Yang, F., and K. Z. Mao. 2010. Improving robustness of gene ranking by resampling and permutation based score correction and normalization. In IEEE International Conference on Bioinformatics and Biomedicine (BIBM ’10), 444 –449. IEEE.
  • Yang, J., and V. Honavar. 1998. Feature subset selection using a genetic algorithm. In Feature extraction, construction and selection, International Series in Engineering and Computer Science 453:117 –136. New York, NY: Springer US.
  • Yazgan, M., and A. Tanik. 2004. Transportation pathways of pesticides in two major watersheds of Istanbul, Turkey. Water Science and Technology 49(3):165 –172.

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