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Note: Links lead to the DBLP on the Web. Heikki Mannila 95 Heikki Mannila: Local and Global Methods in Data Mining: Basic Techniques and Open Problems. ICALP 2002 : 57-68 94 Kai-Sang Leung , Raymond T. Ng , Heikki Mannila: OSSM: A Segmentation Approach to Optimize Frequency Counting. ICDE 2002 93 Heikki Mannila: Combining Pattern Discovery and Probabilistic Modeling in Data Mining. SWAT 2002 : 19 92 Heikki Mannila, Anne Patrikainen , Jouni K. Seppänen , Juha Kere : Long-range control of expression in yeast. Bioinformatics 18 (3): 482-483 (2002) 91 Heikki Mannila: Combining Discrete Algorithmic and Probabilistic Approaches in Data Mining. ECML 2001 : 601 90 Johan Himberg , Kalle Korpiaho , Heikki Mannila, Johanna Tikanmäki , Hannu Toivonen : Time Series Segmentation for Context Recognition in Mobile Devices. ICDM 2001 : 203-210 89 Ella Bingham , Heikki Mannila: Random projection in dimensionality reduction: applications to image and text data. KDD 2001 : 245-250 88 Heikki Mannila, Marko Salmenkivi : Finding simple intensity descriptions from event sequence data. KDD 2001 : 341-346 87 Igor V. Cadez , Padhraic Smyth , Heikki Mannila: Probabilistic modeling of transaction data with applications to profiling, visualization, and prediction. KDD 2001 : 37-46 86 Heikki Mannila: Combining Discrete Algorithmic and Probabilistic Approaches in Data Mining. PKDD 2001 : 493 85 Hannu Toivonen , Paivi Onkamo , Kari Vasko , Vesa Ollikainen , Petteri Sevon , Heikki Mannila, Juha Kere : Gene Mapping by Haplotype Pattern Mining. BIBE 2000 : 99-108 84 Heikki Mannila, Padhraic Smyth : Approximate Query Answering with Frequent Sets and Maximum Entropy. ICDE 2000 : 309 83 Heikki Mannila, Christopher Meek : Global partial orders from sequential data. KDD 2000 : 161-168 82 Gautam Das , Heikki Mannila: Context-Based Similarity Measures for Categorical Databases. PKDD 2000 : 201-210 81 Heikki Mannila: Theoretical Frameworks for Data Mining. SIGKDD Explorations 1 (2): 30-32 (2000) 80 Heikki Mannila, Pirjo Moen : Similarity between Event Types in Sequences. DaWaK 1999 : 271-280 79 Jean-Francois Boulicaut , Mika Klemettinen , Heikki Mannila: Modeling KDD Processes within the Inductive Database Framework. DaWaK 1999 : 293-302 78 Heikki Mannila: Inductive Databases (Abstract). ILP 1999 : 14 77 Heikki Mannila, Dmitry Pavlov , Padhraic Smyth : Prediction with Local Patterns using Cross-Entropy. KDD 1999 : 357-361 76 Mika Klemettinen , Heikki Mannila, A. Inkeri Verkamo : Association Rule Selection in a Data Mining Environment. PKDD 1999 : 372-377 75 Roni Khardon , Heikki Mannila, Dan Roth : Reasoning with Examples: Propositional Formulae and Database Dependencies. Acta Informatica 36 (4): 267-286 (1999) 74 Yonatan Aumann , Ronen Feldman , Orly Liphstat , Heikki Mannila: Borders: An Efficient Algorithm for Association Generation in Dynamic Databases. JIIS 12 (1): 61-73 (1999) 73 Heikki Mannila, Hannu Toivonen , Atte Korhola , Heikki Olander : Learning, Mining, or Modeling? A Case Study from Paleocology. Discovery Science 1998 : 12-24 72 Gautam Das , King-Ip Lin , Heikki Mannila, Gopal Renganathan , Padhraic Smyth : Rule Discovery from Time Series. KDD 1998 : 16-22 71 Gautam Das , Heikki Mannila, Pirjo Ronkainen : Similarity of Attributes by External Probes. KDD 1998 : 23-29 70 Jean-Francois Boulicaut , Mika Klemettinen , Heikki Mannila: Querying Inductive Databases: A Case Study on the MINE RULE Operator. PKDD 1998 : 194-202 69 David Heckerman , Heikki Mannila, Daryl Pregibon : Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97), Newport Beach, California, USA, August 14-17, 1997. AAAI Press 1997 68 Mika Klemettinen , Heikki Mannila, Hannu Toivonen : A Data Mining Methodology and Its Application to Semi-automatic Knowledge Acquisition. DEXA Workshop 1997 : 670-677 67 Ronen Feldman , Yonatan Aumann , Amihood Amir , Heikki Mannila: Efficient Algorithms for Discovering Frequent Sets in Incremental Databases. DMKD 1997 : 0- 66 Dimitrios Gunopulos , Heikki Mannila, Sanjeev Saluja : Discovering All Most Specific Sentences by Randomized Algorithms. ICDT 1997 : 215-229 65 Heikki Mannila: Methods and Problems in Data Mining. ICDT 1997 : 41-55 64 Heikki Mannila: Inductive Databases and Condensed Representations for Data Mining. ILPS 1997 : 21-30 63 Gautam Das , Dimitrios Gunopulos , Heikki Mannila: Finding Similar Time Series. PKDD 1997 : 88-100 62 Dimitrios Gunopulos , Roni Khardon , Heikki Mannila, Hannu Toivonen : Data mining, Hypergraph Transversals, and Machine Learning. PODS 1997 : 209-216 61 Béla Bollobás , Gautam Das , Dimitrios Gunopulos , Heikki Mannila: Time-Series Similarity Problems and Well-Separated Geometric Sets. Symposium on Computational Geometry 1997 : 454-456 60 Heikki Mannila, Pirjo Ronkainen : Similarity of Event Sequences. TIME 1997 : 136-139 59 Thomas Eiter , Heikki Mannila: Distance Measures for Point Sets and their Computation. Acta Informatica 34 (2): 109-133 (1997) 58 Heikki Mannila, Hannu Toivonen : Levelwise Search and Borders of Theories in Knowledge Discovery. Data Mining and Knowledge Discovery 1 (3): 241-258 (1997) 57 Heikki Mannila, Hannu Toivonen , A. Inkeri Verkamo : Discovery of Frequent Episodes in Event Sequences. Data Mining and Knowledge Discovery 1 (3): 259-289 (1997) 56 Thomas Eiter , Georg Gottlob , Heikki Mannila: Disjunctive Datalog. TODS 22 (3): 364-418 (1997) 55 Rakesh Agrawal , Heikki Mannila, Ramakrishnan Srikant , Hannu Toivonen , A. Inkeri Verkamo : Fast Discovery of Association Rules. Advances in Knowledge Discovery and Data Mining 1996 : 307-328 54 Heikki Mannila: Schema Design and Knowledge Discovery (Abstract). ER 1996 : 27 53 Kimmo Hätönen , Mika Klemettinen , Heikki Mannila, Pirjo Ronkainen , Hannu Toivonen : Knowledge Discovery from Telecommunication Network Alarm Databases. ICDE 1996 : 115-122 52 Heikki Mannila: Data Mining and Machine Learning (Abstract). ICML 1996 : 555 51 Heikki Mannila, Hannu Toivonen : Discovering Generalized Episodes Using Minimal Occurrences. KDD 1996 : 146-151 50 Heikki Mannila, Hannu Toivonen : Multiple Uses of Frequent Sets and Condensed Representations (Extended Abstract). KDD 1996 : 189-194 49 Heikki Mannila: Data Mining: Machine Learning, Statistics, and Databases. SSDBM 1996 : 2-9 48 Tomasz Imielinski , Heikki Mannila: A Database Perspective on Knowledge Discovery. CACM 39 (11): 58-64 (1996) 47 Pekka Kilpeläinen , Heikki Mannila, Esko Ukkonen : MDL learning of unions of simple pattern languages from positive examples. EuroCOLT 1995 : 252-260 46 Heikki Mannila: Aspects of Knowledge Discovery and Data Mining. Grundlagen von Datenbanken 1995 : 1-6 45 Marcel Holsheimer , Martin L. Kersten , Heikki Mannila, Hannu Toivonen : A Perspective on Databases and Data Mining. KDD 1995 : 150-155 44 Heikki Mannila, Hannu Toivonen , A. Inkeri Verkamo : Discovering Frequent Episodes in Sequences. KDD 1995 : 210-215 43 Pekka Kilpeläinen , Heikki Mannila: Ordered and Unordered Tree Inclusion. SIAM J. Comput. 24 (2): 340-356 (1995) 42 Jyrki Kivinen , Heikki Mannila: Approximate Inference of Functional Dependencies from Relations. TCS 149 (1): 129-149 (1995) 41 Mika Klemettinen , Heikki Mannila, Pirjo Ronkainen , Hannu Toivonen , A. Inkeri Verkamo : Finding Interesting Rules from Large Sets of Discovered Association Rules. CIKM 1994 : 401-407 40 Pekka Kilpeläinen , Heikki Mannila: Query Primitives for Tree-Structured Data. CPM 1994 : 213-225 39 Jyrki Kivinen , Heikki Mannila, Esko Ukkonen , Jaak Vilo : An ALgorithm for Learning Hierarchical Classifiers. ECML 1994 : 375-378 38 Thomas Eiter , Georg Gottlob , Heikki Mannila: Disjunctive Logic Programming over Finite Structures. GI Jahrestagung 1994 : 69-73 37 Helena Ahonen , Heikki Mannila, Erja Nikunen : Forming Grammars for Structured Documents: an Application of Grammatical Inference. ICGI 1994 : 153-167 36 Thomas Eiter , Georg Gottlob , Heikki Mannila: Expressive Power and Complexity of Disjunctive Datalog under the Stable Model Semantics. IS/KI 1994 : 83-103 35 Heikki Mannila, Hannu Toivonen , A. Inkeri Verkamo : Efficient Algorithms for Discovering Association Rules. KDD Workshop 1994 : 181-192 34 Thomas Eiter , Georg Gottlob , Heikki Mannila: Adding Disjunction to Datalog. PODS 1994 : 267-278 33 Jyrki Kivinen , Heikki Mannila: The Power of Sampling in Knowledge Discovery. PODS 1994 : 77-85 32 Heikki Mannila, Kari-Jouko Räihä : Algorithms for Inferring Functional Dependencies from Relations. DKE 12 (1): 83-99 (1994) 31 Pekka Kilpeläinen , Heikki Mannila: Retrieval from Hierarchical Texts by Partial Patterns. SIGIR 1993 : 214-222 30 Vladimir Estivill-Castro , Heikki Mannila, Derick Wood : Right Invariant Metrics and Measures of Presortedness. Discrete Applied Mathematics 42 (1): 1-16 (1993) 29 Heikki Mannila, Kari-Jouko Räihä : Design of Relational Databases. Addison-Wesley 1992 28 Jyrki Kivinen , Heikki Mannila, Esko Ukkonen : Learning Hierarchical Rule Sets. COLT 1992 : 37-44 27 Pekka Kilpeläinen , Heikki Mannila: Grammatical Tree Matching. CPM 1992 : 162-174 26 Jyrki Kivinen , Heikki Mannila: Approximate Dependency Inference from Relations. ICDT 1992 : 86-98 25 Heikki Mannila, Kari-Jouko Räihä : On the Complexity of Inferring Functional Dependencies. Discrete Applied Mathematics 40 (2): 237-243 (1992) 24 Pekka Kilpeläinen , Heikki Mannila: The Tree Inclusion Problem. TAPSOFT, Vol.1 1991 : 202-214 23 Heikki Mannila, Esko Ukkonen : Unifications, Deunifications, and Their Complexity. BIT 30 (4): 599-619 (1990) 22 Heikki Mannila, Kari-Jouko Räihä : Practical Algorithms for Finding Prime Attributes and Testing Normal Forms. PODS 1989 : 128-133 21 Heikki Mannila, Kari-Jouko Räihä : Automatic Generation of Test Data for Relational Queries. JCSS 38 (2): 240-258 (1989) 20 Heikki Mannila, Esko Ukkonen : Time Parameter and Arbitrary Deunions in the Set Union Problem. SWAT 1988 : 34-42 19 Heikki Mannila, Esko Ukkonen : Flow Analysis of Prolog Programs. SLP 1987 : 205-214 18 Heikki Mannila, Kari-Jouko Räihä : Dependency Inference. VLDB 1987 : 155-158 17 Heikki Mannila, Esko Ukkonen : The Set Union Problem with Backtracking. ICALP 1986 : 236-243 16 Heikki Mannila, Kari-Jouko Räihä : Inclusion Dependencies in Database Design. ICDE 1986 : 713-718 15 Heikki Mannila, Esko Ukkonen : On the Complexity of Unification Sequences. ICLP 1986 : 122-133 14 Heikki Mannila, Kari-Jouko Räihä : Test Data for Relational Queries. PODS 1986 : 217-223 13 Heikki Mannila, Esko Ukkonen : Timestamped Term Representation for Implementing Prolog. SLP 1986 : 159-165 12 Heikki Mannila, Kari-Jouko Räihä : Design by Example: An Application of Armstrong Relations. JCSS 33 (2): 126-141 (1986) 11 Heikki Mannila, Kari-Jouko Räihä : Small Armstrong Relations for Database Design. PODS 1985 : 245-250 10 Heikki Mannila: Measures of Presortedness and Optimal Sorting Algorithms. IEEE Transactions on Computers 34 (4): 318-325 (1985) 9 Heikki Mannila, Kurt Mehlhorn : A Fast Algorithm for Renaming a Set of Clauses as a Horn Set. Information Processing Letters 21 (5): 269-272 (1985) 8 Ralph-Johan Back , Heikki Mannila: On the Suitability of Trace Semantics for Modular Proofs of Communicating Processes. TCS 39 : 47-68 (1985) 7 Heikki Mannila: Measures of Presortedness and Optimal Sorting Algorithms (Extended Abstract). ICALP 1984 : 324-336 6 Heikki Mannila, Esko Ukkonen : A Simple Linear-Time Algorithm for in Situ Merging. Information Processing Letters 18 (4): 203-208 (1984) 5 Ralph-Johan Back , Heikki Mannila: A Semantic Approach to Program Modularity. Information and Control 60 (1-3): 138-167 (1984) 4 Ralph-Johan Back , Heikki Mannila, Kari-Jouko Räihä : Derivation of Efficient DAG Marking Algorithms. POPL 1983 : 20-27 3 Heikki Mannila, Kari-Jouko Räihä : On the Relationship of Minimum and Optimum Covers for a Set of Functional Dependencies. Acta Informatica 20 : 143-158 (1983) 2 Ralph-Johan Back , Heikki Mannila: Locality in Modular Systems. ICALP 1982 : 1-13 1 Ralph-Johan Back , Heikki Mannila: A Refinement of Kahn's Semantic to Handle Non-Determinism and Communication (Extended Abstract). PODC 1982 : 111-120  DiSC'02 © 2003 Association for Computing Machinery |
