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278. Molina E.; Gonzales Diaz H.; Gonzalez M.P.; Rodriguez E.; Uriarte E. Designing Antibacterial Compounds through a Topological Substructural Approach. // J. Chem. Inf. Comput. Sci. - 2004. - V. 44, № 2. - P. 515-521. 279. Gonzalez M.P.; Diaz H.G.; Cabrera M.A.; Ruiz R.M. A novel approach to predict a toxicological property of aromatic compounds in the Tetrahymena pyriformis. // Bioorg. Med, Chem. - 2004. - V. 12, № 4. - P. 735-744. 280. Helguera A.M.; Gonzalez M.P.; Briones J.R. TOPS-MODE approach to predict mutagenicity in dental monomers. // Polymer. - 2004. - V. 45, № 6. - P. 2045- 2050. 281. Gonzalez M.P.; Dias L.C.; Helguera A.M. A topological sub-structural approach to the mutagenic activity in dental monomers. 2. Cycloaliphatic epoxides. // Polymer. - 2004. - V. 45, № 15. - P. 5353-5359. 282. Gonzalez M.P.; Moldes M.d.C.T.; Fall Y.; Dias L.C.; Helguera A.M. A topological sub-structural approach to the mutagenic activity in dental monomers. 3. Heterogeneous set of compounds. // Polymer. - 2005. - V. 46, № 8. - P. 2783-2790. 283. Kramer S.; De Raedt L.; Helma C. In Molecular feature mining in HIV data, Seventh ACM SIGKDD international conference on Knowledge discovery and data mining, San Francisco, California, August 26 - 29, 2001, 2001; ACM Press, New York, NY: San Francisco, California. - 2001. - P. 136-143. 284. De Raedt L.; Kramer S. In The Levelwise Version Space Algorithm and its Application to Molecular Fragment Finding, The Seventeenth International Joint Conference on Articial Intelligence, 2001; Morgan Kaufmann: San Francisco. - 2001. - P. 853-862. 285. Kramer S.; De Raedt L. In Feature construction with version spaces for biochemical applications, The eighteenth International Conference on Machine Learning, 2001; Morgan Kaufmann: San Francisco, CA. - 2001. - P. 258-265. 286. Inokuchi A. Mining Generalized Substructures from a Set of Labeled Graphs. // Proceedings of the Fourth IEEE International Conference on Data Mining (ICDM'04) - IEEE Computer Society. - 2004. - P. 415-418 287. Yan X.; Han J. gspan: Graph-based substructure pattern mining. // Proceedings of the 2002 IEEE International Conference on Data Mining. - 2002. - P. 721-724. 340
288. Saigo H.; Kadowaki T.; Tsuda K. In A Linear Programming Approach for Molecular QSAR analysis, International Workshop on Mining and Learning with Graphs 2006. - 2006. - P. 85-96. 289. Asai T.; Abe K.; Kawasoe S.; Arimura H.; Satamoto H.; Arikawa S. Efficient Substructure Discovery from Large Semi-structured Data. // SIAM SDM'02. - 2002. 290. Chi Y.; Muntz R.R.; Nijssen S.; Kok J.N. Frequent subtree mining -- an overview. // Fundamenta Informaticae - 2005. - V. 66, № 1-2. - P. 161-198. 291. Inokuchi A.; Washio T.; Motoda H. In An Apriori-Based Algorithm for Mining Frequent Substructures from Graph Data, 4th European Conf. on Principles and Practice of Knowledge Discovery in Databases (PKDD), Lyon, France, September 2000, 2000; Lyon, France, September 2000. - 2000. - P. 13-23. 292. Kuramochi M.; Karypis G. In Frequent Subgraph Discovery, 1st IEEE Conference on Data Mining, 2001. - 2001. - P. 313-320. 293. Borgelt C.; Meinl T.; Berthold M. MoSS: A Program for Molecular Substructure Mining. // Proceedings of the 1st international Workshop on Open Source Data Mining: Frequent Pattern Mining Implementations ACM Press, New York, NY: Chicago, Illinois, August 21 - 21, 2005. - 2005. - P. 6-15. 294. Zaki M.J. Efficiently mining frequent trees in a forest. // Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining, ACM Press: Edmonton, Alberta, Canada. - 2002. - P. 71-80 295. Chi Y.; Yang Y.; Muntz R.R. HybridTreeMiner: An efficient algorithm for mining frequent rooted trees and free trees using canonical forms. // The 16th International Conference on Scientific and Statistical Database Management (SSDBM'04), June 2004. - 2004. 296. Chi Y.; Yang Y.; Xia Y.; Muntz R.R. CMTreeMiner: Mining both closed and maximal frequent subtrees. // The Eighth Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD'04), May 2004. - 2004. 297. Dehaspe L.; Toivonen H.; King R.D. Finding frequent substructures in chemical compounds. // 4th International Conference on Knowledge Discovery and Data Mining, Agrawal R.; Stolorz P.; Piatetsky-Shapiro G., Eds. AAAI Press. - 1998. - P. 30-36. 341
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- Page 315 and 316: ЛИТЕРАТУРА 1. Гилле
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- Page 319 and 320: 54. Karelson M.; Dobchev D.A.; Kuls
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- Page 365: СПИСОК ОБОЗНАЧЕНИЙ
278. Molina E.; Gonzales Diaz H.; Gonzalez M.P.; Rodriguez E.; Uriarte E. Designing<br />
Antibacterial Compounds through a Topological Substructural Approach. // J.<br />
Chem. Inf. Comput. Sci. - 2004. - V. 44, № 2. - P. 515-521.<br />
279. Gonzalez M.P.; Diaz H.G.; Cabrera M.A.; Ruiz R.M. A novel approach to predict<br />
a toxicological property of aromatic compounds in the Tetrahymena pyriformis.<br />
// Bioorg. Med, Chem. - 2004. - V. 12, № 4. - P. 735-744.<br />
280. Helguera A.M.; Gonzalez M.P.; Briones J.R. TOPS-MODE approach to predict<br />
mutagenicity in dental monomers. // Polymer. - 2004. - V. 45, № 6. - P. 2045-<br />
2050.<br />
281. Gonzalez M.P.; Dias L.C.; Helguera A.M. A topological sub-structural approach<br />
to the mutagenic activity in dental monomers. 2. Cycloaliphatic epoxides. //<br />
Polymer. - 2004. - V. 45, № 15. - P. 5353-5359.<br />
282. Gonzalez M.P.; Moldes M.d.C.T.; Fall Y.; Dias L.C.; Helguera A.M. A topological<br />
sub-structural approach to the mutagenic activity in dental monomers. 3. Heterogeneous<br />
set of compounds. // Polymer. - 2005. - V. 46, № 8. - P. 2783-2790.<br />
283. Kramer S.; De Raedt L.; Helma C. In Molecular feature mining in HIV data,<br />
Seventh ACM SIGKDD international conference on Knowledge discovery and data<br />
mining, San Francisco, California, August 26 - 29, 2001, 2001; ACM Press, New<br />
York, NY: San Francisco, California. - 2001. - P. 136-143.<br />
284. De Raedt L.; Kramer S. In The Levelwise Version Space Algorithm and its<br />
Application to Molecular Fragment Finding, The Seventeenth International Joint<br />
Conference on Articial Intelligence, 2001; Morgan Kaufmann: San Francisco. - 2001.<br />
- P. 853-862.<br />
285. Kramer S.; De Raedt L. In Feature construction with version spaces for biochemical<br />
applications, The eighteenth International Conference on Machine Learning,<br />
2001; Morgan Kaufmann: San Francisco, CA. - 2001. - P. 258-265.<br />
286. Inokuchi A. Mining Generalized Substructures from a Set of Labeled Graphs. //<br />
Proceedings of the Fourth IEEE International Conference on Data Mining (ICDM'04)<br />
- IEEE Computer Society. - 2004. - P. 415-418<br />
287. Yan X.; Han J. gspan: Graph-based substructure pattern mining. // Proceedings<br />
of the 2002 IEEE International Conference on Data Mining. - 2002. - P. 721-724.<br />
340