Conferences in DBLP
Ronald J. Brachman , Tej Anand The Process of Knowledge Discovery in Databases: A First Sketch. [Citation Graph (2, 0)][DBLP ] Conf ] Brian R. Gaines Exception Dags as Knowledge Structures. [Citation Graph (0, 0)][DBLP ] Conf ] Gregory Piatetsky-Shapiro , Christopher J. Matheus The Interingness of Deviations. [Citation Graph (1, 0)][DBLP ] Conf ] Evangelos Simoudis , Brian Livezey , Randy Kerber Integrating Inductive and Deductive Reasoning for Database Mining. [Citation Graph (1, 0)][DBLP ] Conf ] Robert St. Amant , Paul R. Cohen Toward the Integration of Exploration and Modeling in a Planning Framework. [Citation Graph (0, 0)][DBLP ] Conf ] Inderpal S. Bhandari , Shriram Biyani On the Role of Statistical Significance in Exploratory Data Analysis. [Citation Graph (0, 0)][DBLP ] Conf ] Dawn E. Gregory , Paul R. Cohen Two Algorithms for Inducing Causal Models from Data. [Citation Graph (0, 0)][DBLP ] Conf ] David Heckerman , Dan Geiger , David Maxwell Chickering Learning Bayesian Networks: The Combination of Knowledge and Statistical Data. [Citation Graph (0, 0)][DBLP ] Conf ] Arno Siebes Homogeneous Discoveries Contain No Surprises: Inferring Risk Profiles from Large Databases. [Citation Graph (0, 0)][DBLP ] Conf ] Padhraic Smyth , Michael C. Burl , Usama M. Fayyad , Pietro Perona Knowledge Discovery in Large Image Databases: Dealing with Uncertainties in Ground Truth. [Citation Graph (0, 0)][DBLP ] Conf ] Shusaku Tsumoto , Hiroshi Tanaka Selection of Probabilistic Measure Estimation Method Based on Recursive Iteration of Resampling Methods. [Citation Graph (0, 0)][DBLP ] Conf ] Wesley W. Chu , Kuorong Chiang Abstraction of High Level Concepts from Numerical Values in Databases. [Citation Graph (4, 0)][DBLP ] Conf ] Isabelle Guyon , Nada Matic , Vladimir Vapnik Discovering Informative Patterns and Data Cleaning. [Citation Graph (1, 0)][DBLP ] Conf ] Jiawei Han , Yongjian Fu Dynamic Generation and Refinement of Concept Hierarchies for Knowledge Discovery in Databases. [Citation Graph (5, 0)][DBLP ] Conf ] Lawrence B. Holder , Diane J. Cook , Surnjani Djoko Substucture Discovery in the SUBDUE System. [Citation Graph (0, 0)][DBLP ] Conf ] Heikki Mannila , Hannu Toivonen , A. Inkeri Verkamo Efficient Algorithms for Discovering Association Rules. [Citation Graph (20, 0)][DBLP ] Conf ] Molly Troxel , Kim Swarm , Robert Zembowicz , Jan M. Zytkow From Law-Like Knowledge to Concept Hierarchies in Data. [Citation Graph (0, 0)][DBLP ] Conf ] Hiroshi Tsukimoto The Discovery of Logical Propositions in Numerical Data. [Citation Graph (0, 0)][DBLP ] Conf ] Marcel Holsheimer , Martin L. Kersten Architectural Support for Data Mining. [Citation Graph (3, 0)][DBLP ] Conf ] Ibrahim F. Imam , Ryszard S. Michalski From Facts to Rules to Decisions: An Overview of the FRD-1 System. [Citation Graph (0, 0)][DBLP ] Conf ] Mikhail V. Kiselev PolyAnalyst - A Machine Discovery System Inferring Functional Programs. [Citation Graph (0, 0)][DBLP ] Conf ] Willi Klösgen Exploration of Simulation Experiments by Discovery. [Citation Graph (0, 0)][DBLP ] Conf ] Wim Van Laer , Luc Dehaspe , Luc De Raedt Applications of a Logical Discovery Engine. [Citation Graph (1, 0)][DBLP ] Conf ] Jean-Daniel Zucker , Vincent Corruble , J. Thomas , Geber Ramalho DICE: A Discovery Environment Integrating Inductive Bias. [Citation Graph (0, 0)][DBLP ] Conf ] Sarabjot S. Anand , David A. Bell , John G. Hughes Database Mining in the Architecture of a Semantic Preprocessor for State Aware Query Optimization. [Citation Graph (2, 0)][DBLP ] Conf ] Roger H. L. Chiang , Terence M. Barron , Veda C. Storey Extracting Domain Semantics for Knowledge Discovery in Relational Databases. [Citation Graph (0, 0)][DBLP ] Conf ] Chun-Nan Hsu , Craig A. Knoblock Rule Induction for Semantic Query Optimization. [Citation Graph (0, 0)][DBLP ] Conf ] Xiaohua Hu , Nick Cercone , Jinshi Xie Learning Data Trend Regularities From Databases in a Dynamic Environment. [Citation Graph (0, 0)][DBLP ] Conf ] Wei-Min Shen , Bharat G. Mitbander , KayLiang Ong , Carlo Zaniolo Using Metagueries to Integrate Inductive Learning and Deductive Database Technology. [Citation Graph (2, 0)][DBLP ] Conf ] John M. Aronis , Foster J. Provost Efficiently Constructing Relational Features from Background Knowledge for Inductive Machine Learning. [Citation Graph (1, 0)][DBLP ] Conf ] Donald J. Berndt , James Clifford Using Dynamic Time Warping to Find Patterns in Time Series. [Citation Graph (3, 0)][DBLP ] Conf ] Johannes Fürnkranz A Comparison of Pruning Methods for Relational Concept Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Kristian J. Hammond , Robin D. Burke , Kathryn Schmitt A Case-Based Approach to Knowledge Navigation. [Citation Graph (0, 0)][DBLP ] Conf ] T. J. Monk , R. S. Mitchell , L. A. Smith , G. Holmes Geometric Comparison of Clarifications and Rule Sets. [Citation Graph (0, 0)][DBLP ] Conf ] Chidanand Apté , Se June Hong Predicting Equity Returns from Securities Data with Minimal Rule Generation. [Citation Graph (0, 0)][DBLP ] Conf ] Marek J. Druzdze , Clark Glymour Application of the TETRAD II Program to the Study of Student Retention in U.S. Colleges. [Citation Graph (0, 0)][DBLP ] Conf ] Kenneth A. Kaufman Comparing International Development Patterns Using Multi-Operator Learning and Discovery Tools. [Citation Graph (0, 0)][DBLP ] Conf ] Christopher J. Matheus , Gregory Piatetsky-Shapiro , Dwight McNeill An Application of KEFM to the Analysis of Healthcare Information. [Citation Graph (0, 0)][DBLP ] Conf ] Raguram Sasisekharan , V. Seshadri , Sholom M. Weiss Proactive Network Maintenance Using Machine Learning. [Citation Graph (0, 0)][DBLP ] Conf ] Willi Klösgen , Jan M. Zytkow Machine Discovery Terminology. [Citation Graph (0, 0)][DBLP ] Conf ] 