LEADER 05254oam 2200613 450 001 996466126703316 005 20210522165630.0 010 $a3-540-75488-1 024 7 $a10.1007/978-3-540-75488-6 035 $a(CKB)1000000000490511 035 $a(SSID)ssj0000317232 035 $a(PQKBManifestationID)11208007 035 $a(PQKBTitleCode)TC0000317232 035 $a(PQKBWorkID)10287220 035 $a(PQKB)11363900 035 $a(DE-He213)978-3-540-75488-6 035 $a(MiAaPQ)EBC3062856 035 $a(MiAaPQ)EBC6413980 035 $a(PPN)123165504 035 $a(EXLCZ)991000000000490511 100 $a20210522d2007 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 00$aDiscovery science $e10th international conference, DS 2007, Sendai, Japan, October 1-4, 2007 ; proceedings /$fVincent Corruble, Masayuki Takeda, Einoshin Suzuki (eds.) 205 $a1st ed. 2007. 210 1$aBerlin, Germany :$cSpringer,$d[2007] 210 4$d©2007 215 $a1 online resource (XI, 300 p.) 225 1 $aLecture Notes in Artificial Intelligence ;$v4755 300 $aIncludes index. 311 $a3-540-75487-3 327 $aInvited Papers -- Challenge for Info-plosion -- Machine Learning in Ecosystem Informatics -- Simple Algorithmic Principles of Discovery, Subjective Beauty, Selective Attention, Curiosity & Creativity -- A Theory of Similarity Functions for Learning and Clustering -- A Hilbert Space Embedding for Distributions -- Long Papers -- Time and Space Efficient Discovery of Maximal Geometric Graphs -- Iterative Reordering of Rules for Building Ensembles Without Relearning -- On Approximating Minimum Infrequent and Maximum Frequent Sets -- A Partially Dynamic Clustering Algorithm for Data Insertion and Removal -- Positivism Against Constructivism: A Network Game to Learn Epistemology -- Learning Locally Weighted C4.4 for Class Probability Estimation -- User Preference Modeling from Positive Contents for Personalized Recommendation -- Reducing Trials by Thinning-Out in Skill Discovery -- A Theoretical Study on Variable Ordering of Zero-Suppressed BDDs for Representing Frequent Itemsets -- Fast NML Computation for Naive Bayes Models -- Unsupervised Spam Detection Based on String Alienness Measures -- A Consequence Finding Approach for Full Clausal Abduction -- Literature-Based Discovery by an Enhanced Information Retrieval Model -- Discovering Mentorship Information from Author Collaboration Networks -- Active Contours as Knowledge Discovery Methods -- An Efficient Polynomial Delay Algorithm for Pseudo Frequent Itemset Mining -- Discovering Implicit Feedbacks from Search Engine Log Files -- Regular Papers -- Pharmacophore Knowledge Refinement Method in the Chemical Structure Space -- An Attempt to Rebuild C. Bernard?s Scientific Steps -- Semantic Annotation of Data Tables Using a Domain Ontology -- Model Selection and Estimation Via Subjective User Preferences -- Detecting Concept Drift Using Statistical Testing -- Towards Future Technology Projection: A Method for Extracting Capability Phrases from Documents -- Efficient Incremental Mining of Top-K Frequent Closed Itemsets -- An Intentional Kernel Function for RNA Classification -- Mining Subtrees with Frequent Occurrence of Similar Subtrees -- Semantic Based Real-Time Clustering for PubMed Literatures. 330 $aThis volume contains the papers presented at DS-2007:The Tenth International Conference on Discovery Science held in Sendai, Japan, October 1?4, 2007. The main objective of the Discovery Science (DS) conference series is to p- vide an open forum for intensive discussions and the exchange of new ideas and information among researchers working in the area of automating scienti?c d- covery or working on tools for supporting the human process of discovery in science. It has been a successful arrangement in the past to co-locate the DS conference with the International Conference on Algorithmic Learning Theory (ALT). ThiscombinationofALTandDSallowsforacomprehensivetreatmentof the whole range, from theoretical investigations to practical applications. C- tinuing this tradition, DS 2007 was co-located with the 18th ALT conference (ALT 2007). The proceedings of ALT 2007 were published as a twin volume 4754 of the LNCS series. The International Steering Committee of the Discovery Science conference series provided important advice on a number of issues during the planning of Discovery Science 2007. The members of the Steering Committee are Einoshin Suzuki (Kyushu University, Chair), Achim G. 410 0$aLecture Notes in Artificial Intelligence ;$v4755 606 $aScience$xPhilosophy$vCongresses 606 $aDiscoveries in science$vCongresses 606 $aResearch$xAutomation$vCongresses 615 0$aScience$xPhilosophy 615 0$aDiscoveries in science 615 0$aResearch$xAutomation 676 $a501 702 $aTakeda$b Masayuki 702 $aSuzuki$b Einoshin 702 $aCorruble$b Vincent 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bUtOrBLW 906 $aBOOK 912 $a996466126703316 996 $aDiscovery Science$9772321 997 $aUNISA