Discovery science. 4th international conference, DS 2001, Washington, DC, USA, November 25--28, 2001. Proceedings (Q5960818)

The articles of this volume will be reviewed individually. Indexed articles: \textit{Arikawa, Setsuo}, The discovery science project in Japan, 1-2 [Zbl 1053.68588] \textit{Darden, Lindley}, Discovering mechanisms: A computational philosophy of science perspective, 3-15 [Zbl 1053.68596] \textit{Angluin, Dana}, Queries revisited, 16 [Zbl 1053.68587] \textit{Shneiderman, Ben}, Inventing discovery tools: Combining information visualization with data mining, 17-28 [Zbl 1053.68640] \textit{Cohen, Paul R.; Oates, Tim; Adams, Niall; Beal, Carole R.}, Robot Baby 2001, 29 [Zbl 1053.68594] \textit{Bannai, Hideo; Tamada, Yoshinori; Maruyama, Osamu; Miyano, Satoru}, VML: A view modeling language for computational knowledge discovery, 30-44 [Zbl 1053.68589] \textit{Džeroski, Sašo; Langley, Pat}, Computational discovery of communicable knowledge: Symposium report, 45-49 [Zbl 1053.68595] \textit{Fortes, I.; Balcázar, J. L.; Morales, R.}, Bounding negative information in frequent sets algorithms, 50-58 [Zbl 1053.68600] \textit{Gama, João}, Functional trees, 59-73 [Zbl 1053.68602] \textit{Gorman, Michael E.; Kincannon, Alexandra; Mehalik, Matthew M.}, Spherical horses and shared toothbrushes: Lessons learned from a workshop on scientific and technological thinking, 74-86 [Zbl 1053.68606] \textit{Gründel, Hans; Naphtali, Tino; Wiech, Christian; Gluba, Jan-Marian; Rohdenburg, Maiken; Scheffer, Tobias}, Clipping and analyzing news using machine learning techniques, 87-99 [Zbl 1053.68607] \textit{Horváth, Tamás; Wrobel, Stefan}, Towards discovery of deep and wide first-order structures: A case study in the domain of mutagenicity, 100-112 [Zbl 1053.68611] \textit{Ikeda, Daisuke; Yamada, Yasuhiro; Hirokawa, Sachio}, Eliminating useless parts in semi-structured documents using alternation counts, 113-127 [Zbl 1053.68612] \textit{Iyer, Naresh S.; Josephson, John R.}, Multicriterially best explanations, 128-140 [Zbl 1053.68613] \textit{Kanda, Kouta; Haraguchi, Makoto; Okubo, Yoshiaki}, Constructing approximate informative basis of association rules, 141-154 [Zbl 1053.68616] \textit{Kise, Koichi; Junker, Markus; Dengel, Andreas; Matsumoto, Keinosuke}, Passage-based document retrieval as a tool for text mining with user's information needs, 155-169 [Zbl 1053.68617] \textit{Kocabas, Sakir}, Automated formulation of reactions and pathways in nuclear astrophysics: New results, 170-181 [Zbl 1053.68618] \textit{Kocabas, Sakir; Langley, Pat}, An integrated framework for extended discovery in particle physics, 182-195 [Zbl 1053.68619] \textit{Kostoff, Ronald N.}, Stimulating discovery, 196-213 [Zbl 1053.68621] \textit{Mahidadia, Ashesh; Compton, Paul}, Assisting model-discovery in neuroendocrinology, 214-227 [Zbl 1053.68625] \textit{Martin, Eric; Sharma, Arun; Stephan, Frank}, A general theory of deduction, induction, and learning, 228-242 [Zbl 1053.68077] \textit{Maruyama, Osamu; Shoudai, Takayoshi; Furuichi, Emiko; Kuhara, Satoru; Miyano, Satoru}, Learning conformation rules, 243-257 [Zbl 1053.68627] \textit{Matsumura, Naohiro; Ohsawa, Yukio; Ishizuka, Mitsuru}, Knowledge navigation on visualizing complementary documents, 258-270 [Zbl 1053.68628] \textit{Matsuo, Yutaka; Ohsawa, Yukio; Ishizuka, Mitsuru}, KeyWorld: Extracting keywords from a document as a small world, 271-281 [Zbl 1053.68629] \textit{Murata, Tsuyoshi}, A method for discovering purified web communities, 282-289 [Zbl 1053.68631] \textit{Ouyang, Ming; Case, John; Burnside, Joan}, Divide and conquer machine learning for a genomics analogy problem (progress report), 290-303 [Zbl 1053.68633] \textit{Phillips, Joseph}, Towards a method of searching a diverse theory space for scientific discovery, 304-322 [Zbl 1053.68636] \textit{Robardet, Céline; Feschet, Fabien}, Efficient local search in conceptual clustering, 323-335 [Zbl 1053.68637] \textit{Saito, Kazumi; Langley, Pat; Grenager, Trond; Potter, Christopher; Torregrosa, Alicia; Klooster, Steven A.}, Computational revision of quantitative scientific models, 336-349 [Zbl 1053.68639] \textit{Sugimoto, Noriko; Ishizaka, Hiroki; Shinohara, Takeshi}, An efficient derivation for elementary formal systems based on partial unification, 350-364 [Zbl 1053.68080] \textit{Suzuki, Einoshin}, Worst-case analysis of rule discovery, 365-377 [Zbl 1053.68646] \textit{Taniguchi, Katsuaki; Sakamoto, Hiroshi; Arimura, Hiroki; Shimozono, Shinichi; Arikawa, Setsuo}, Mining semi-structured data by path expressions, 378-388 [Zbl 1053.68649] \textit{Todorovski, Ljupčo; Džeroski, Sašo}, Theory revision in equation discovery, 389-400 [Zbl 1053.68653] \textit{Ueda, Nobuhisa; Sato, Taisuke}, Simplified training algorithms for hierarchical hidden Markov models, 401-415 [Zbl 1053.68655] \textit{Yamamoto, Koichiro; Takeda, Masayuki; Shinohara, Ayumi; Fukuda, Tomoko; Nanri, Ichirō}, Discovering repetitive expressions and affinities from anthologies of classical Japanese poems, 416-428 [Zbl 1053.68661] \textit{Hiraishi, Hironori; Kato, Hisayoshi; Ohtsuka, Naonori; Mizoguchi, Fumio}, Web site rating and improvement based on hyperlink structure, 429-434 [Zbl 1053.68608] \textit{Hirao, Masahiro; Inenaga, Shunsuke; Shinohara, Ayumi; Takeda, Masayuki; Arikawa, Setsuo}, A practical algorithm to find the best episode patterns, 435-440 [Zbl 1053.68609] \textit{Hochheiser, Harry; Shneiderman, Ben}, Interactive exploration of time series data, 441-446 [Zbl 1053.68610] \textit{Lele, Shreevardhan; Golden, Bruce; Ozga, Kimberly; Wasil, Edward}, Clustering rules using empirical similarity of support sets, 447-451 [Zbl 1053.68623] \textit{Simina, Marin; Gorman, Michael E.; Kolodner, Janet L.}, Computational lessons from a cognitive study of invention, 452-457 [Zbl 1053.68642] \textit{Tanaka, Yuzuru; Sugibuchi, Tsuyoshi}, Component-based framework for virtual information materialization, 458-463 [Zbl 1053.68647] \textit{Tang, Lida; Shneiderman, Ben}, Dynamic aggregation to support pattern discovery: A case study with web logs, 464-469 [Zbl 1053.68648] \textit{Ueno, Genta; Nakamura, Nagatomo; Higuchi, Tomoyuki}, Separation of photoelectrons via multivariate Maxwellian mixture model, 470-475 [Zbl 1053.68656] \textit{van den Bosch, Alexander P. M.}, Logic of drug discovery: A descriptive model of a practice in neuropharmacology, 476-481 [Zbl 1053.68663] \textit{Yamada, Yasuhiro; Ikeda, Daisuke; Hirokawa, Sachio}, SCOOP: A record extractor without knowledge on input, 482-487 [Zbl 1053.68659] \textit{Zak, Premysl; Spacil, Pavel; Halova, Jaroslava}, Meta-analysis of mutagenes discovery, 488-492 [Zbl 1053.68662]