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ORCIDHeikki Mannila
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- affiliation: Academy of Finland, President
- affiliation: Aalto University
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2020 – today
- 2024
[j56]Martino Ciaperoni, Aristides Gionis, Heikki Mannila:
The Hadamard decomposition problem. Data Min. Knowl. Discov. 38(4): 2306-2347 (2024)- 2020
- [i6]Sami Hanhijärvi, Markus Ojala, Niko Vuokko, Kai Puolamäki, Nikolaj Tatti, Heikki Mannila:
Tell Me Something I Don't Know: Randomization Strategies for Iterative Data Mining. CoRR abs/2006.09467 (2020)
2010 – 2019
- 2019
- [i5]Nikolaj Tatti, Taneli Mielikäinen, Aristides Gionis, Heikki Mannila:
What is the dimension of your binary data? CoRR abs/1902.01480 (2019) - 2016
- [j55]Jefrey Lijffijt
, Terttu Nevalainen, Tanja Säily, Panagiotis Papapetrou, Kai Puolamäki, Heikki Mannila:
Significance testing of word frequencies in corpora. Digit. Scholarsh. Humanit. 31(2): 374-397 (2016) - 2013
- [i4]Dmitry Pavlov, Heikki Mannila, Padhraic Smyth:
Probabilistic Models for Query Approximation with Large Sparse Binary Datasets. CoRR abs/1301.3884 (2013) - 2011
- [j54]Aleksi Kallio, Niko Vuokko, Markus Ojala, Niina Haiminen, Heikki Mannila:
Randomization techniques for assessing the significance of gene periodicity results. BMC Bioinform. 12: 330 (2011) - [j53]Gemma C. Garriga, Esa Junttila, Heikki Mannila:
Banded structure in binary matrices. Knowl. Inf. Syst. 28(1): 197-226 (2011) - [c132]Heikki Mannila:
Permutation Structure in 0-1 Data. ECML/PKDD (1) 2011: 7 - [c131]Jefrey Lijffijt, Panagiotis Papapetrou, Kai Puolamäki, Heikki Mannila:
Analyzing Word Frequencies in Large Text Corpora Using Inter-arrival Times and Bootstrapping. ECML/PKDD (2) 2011: 341-357 - [c130]Panagiotis Papapetrou, Aristides Gionis, Heikki Mannila:
A Shapley Value Approach for Influence Attribution. ECML/PKDD (2) 2011: 549-564 - [e8]Tapio Elomaa, Jaakko Hollmén, Heikki Mannila:
Discovery Science - 14th International Conference, DS 2011, Espoo, Finland, October 5-7, 2011. Proceedings. Lecture Notes in Computer Science 6926, Springer 2011, ISBN 978-3-642-24476-6 [contents] - 2010
- [j52]Niina Haiminen, Heikki Mannila:
Evaluation of BIC and Cross Validation for model selection on sequence segmentations. Int. J. Data Min. Bioinform. 4(6): 675-700 (2010) - [c129]Panu Luosto, Jyrki Kivinen, Heikki Mannila:
Gaussian Clusters and Noise: An Approach Based on the Minimum Description Length Principle. Discovery Science 2010: 251-265 - [c128]Theodoros Lappas, Evimaria Terzi, Dimitrios Gunopulos, Heikki Mannila:
Finding effectors in social networks. KDD 2010: 1059-1068 - [c127]Markus Ojala, Gemma C. Garriga, Aristides Gionis, Heikki Mannila:
Evaluating Query Result Significance in Databases via Randomizations. SDM 2010: 906-917 - [p3]Luc De Raedt, Manfred Jaeger, Sau Dan Lee, Heikki Mannila:
A Theory of Inductive Query Answering. Inductive Databases and Constraint-Based Data Mining 2010: 79-103 - [e7]Tapio Elomaa, Heikki Mannila, Pekka Orponen:
Algorithms and Applications, Essays Dedicated to Esko Ukkonen on the Occasion of His 60th Birthday. Lecture Notes in Computer Science 6060, Springer 2010, ISBN 978-3-642-12475-4 [contents]
2000 – 2009
- 2009
- [j51]Ella Bingham, Heikki Mannila:
Complexity control in a mixture model by the Hardy-Weinberg equilibrium. Comput. Stat. Data Anal. 53(5): 1711-1719 (2009) - [j50]Antti Ukkonen, Kai Puolamäki, Aristides Gionis, Heikki Mannila:
A randomized approximation algorithm for computing bucket orders. Inf. Process. Lett. 109(7): 356-359 (2009) - [j49]Tomás Feder, Heikki Mannila, Evimaria Terzi:
Approximating the Minimum Chain Completion problem. Inf. Process. Lett. 109(17): 980-985 (2009) - [j48]Markus Ojala, Niko Vuokko, Aleksi Kallio, Niina Haiminen, Heikki Mannila:
Randomization methods for assessing data analysis results on real-valued matrices. Stat. Anal. Data Min. 2(4): 209-230 (2009) - [j47]Heikki Mannila, Dimitrios Gunopulos:
ACM TKDD special issue ACM SIGKDD 2007 and ACM SIGKDD 2008. ACM Trans. Knowl. Discov. Data 3(4): 15:1-15:2 (2009) - [j46]Muhammed Miah, Gautam Das, Vagelis Hristidis, Heikki Mannila:
Determining Attributes to Maximize Visibility of Objects. IEEE Trans. Knowl. Data Eng. 21(7): 959-973 (2009) - [c126]Heikki Mannila:
Randomization Methods for Assessing the Significance of Data Mining Results. ISMIS 2009: 1 - [c125]Heikki Mannila:
Randomization methods in data mining. KDD 2009: 5-6 - [c124]Sami Hanhijärvi, Markus Ojala, Niko Vuokko, Kai Puolamäki, Nikolaj Tatti, Heikki Mannila:
Tell me something I don't know: randomization strategies for iterative data mining. KDD 2009: 379-388 - [c123]Huseyin Hakkoymaz, Georgios Chatzimilioudis, Dimitrios Gunopulos, Heikki Mannila:
Applying Electromagnetic Field Theory Concepts to Clustering with Constraints. ECML/PKDD (1) 2009: 485-500 - [c122]Hannes Heikinheimo, Jilles Vreeken, Arno Siebes, Heikki Mannila:
Low-Entropy Set Selection. SDM 2009: 569-580 - [c121]Heikki Mannila, Evimaria Terzi:
Finding Links and Initiators: A Graph-Reconstruction Problem. SDM 2009: 1209-1219 - [e6]Kai Puolamäki, Heikki Mannila, Alessio Bertone, Silvia Miksch:
Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery: Integrating Automated Analysis with Interactive Exploration, Paris, France, June 28, 2009. ACM 2009, ISBN 978-1-60558-670-0 [contents] - [i3]Markus Ojala, Gemma C. Garriga, Aristides Gionis, Heikki Mannila:
Query Significance in Databases via Randomizations. CoRR abs/0906.5485 (2009) - 2008
- [j45]Niina Haiminen, Heikki Mannila, Evimaria Terzi:
Determining significance of pairwise co-occurrences of events in bursty sequences. BMC Bioinform. 9 (2008) - [j44]Robert Gwadera, Aristides Gionis, Heikki Mannila:
Optimal segmentation using tree models. Knowl. Inf. Syst. 15(3): 259-283 (2008) - [j43]Pauli Miettinen, Taneli Mielikäinen, Aristides Gionis, Gautam Das, Heikki Mannila:
The Discrete Basis Problem. IEEE Trans. Knowl. Data Eng. 20(10): 1348-1362 (2008) - [c120]Heikki Mannila:
Randomization Techniques for Data Mining Methods. ADBIS 2008: 1 - [c119]Heikki Mannila:
Randomization Techniques for Data Mining Methods. ADBIS (local proceedings) 2008: 1 - [c118]Heikki Mannila:
Finding Total and Partial Orders from Data for Seriation. ALT 2008: 4 - [c117]Heikki Mannila:
Finding Total and Partial Orders from Data for Seriation. Discovery Science 2008: 16-25 - [c116]Gemma C. Garriga, Antti Ukkonen, Heikki Mannila:
Feature Selection in Taxonomies with Applications to Paleontology. Discovery Science 2008: 112-123 - [c115]Muhammed Miah, Gautam Das, Vagelis Hristidis, Heikki Mannila:
Standing Out in a Crowd: Selecting Attributes for Maximum Visibility. ICDE 2008: 356-365 - [c114]Gemma C. Garriga, Esa Junttila, Heikki Mannila:
Banded structure in binary matrices. KDD 2008: 292-300 - [c113]Bart Goethals, Wim Le Page, Heikki Mannila:
Mining Association Rules of Simple Conjunctive Queries. SDM 2008: 96-107 - [c112]Arianna Gallo, Pauli Miettinen, Heikki Mannila:
Finding Subgroups having Several Descriptions: Algorithms for Redescription Mining. SDM 2008: 334-345 - [c111]Markus Ojala, Niko Vuokko, Aleksi Kallio, Niina Haiminen, Heikki Mannila:
Randomization of real-valued matrices for assessing the significance of data mining results. SDM 2008: 494-505 - [i2]Heikki Mannila, Evimaria Terzi:
Finding links and initiators: a graph reconstruction problem. CoRR abs/0809.3027 (2008) - 2007
- [j42]Niina Haiminen, Heikki Mannila, Evimaria Terzi:
Comparing segmentations by applying randomization techniques. BMC Bioinform. 8 (2007) - [j41]Niels Landwehr, Taneli Mielikäinen, Lauri Eronen, Hannu Toivonen, Heikki Mannila:
Constrained hidden Markov models for population-based haplotyping. BMC Bioinform. 8(S-2) (2007) - [j40]Alexander Hinneburg, Heikki Mannila, Samuli Kaislaniemi, Terttu Nevalainen, Helena Raumolin-Brunberg:
How to Handle Small Samples: Bootstrap and Bayesian Methods in the Analysis of Linguistic Change. Lit. Linguistic Comput. 22(2): 137-150 (2007) - [j39]Aristides Gionis, Heikki Mannila, Panayiotis Tsaparas:
Clustering aggregation. ACM Trans. Knowl. Discov. Data 1(1): 4 (2007) - [j38]Aristides Gionis, Heikki Mannila, Taneli Mielikäinen, Panayiotis Tsaparas:
Assessing data mining results via swap randomization. ACM Trans. Knowl. Discov. Data 1(3): 14 (2007) - [c110]Saara Hyvönen, Aristides Gionis, Heikki Mannila:
Recurrent Predictive Models for Sequence Segmentation. IDA 2007: 195-206 - [c109]Hannes Heikinheimo, Jouni K. Seppänen, Eino Hinkkanen, Heikki Mannila, Taneli Mielikäinen:
Finding low-entropy sets and trees from binary data. KDD 2007: 350-359 - [c108]Heikki Mannila, Evimaria Terzi:
Nestedness and segmented nestedness. KDD 2007: 480-489 - [c107]Antti Ukkonen, Heikki Mannila:
Finding Outlying Items in Sets of Partial Rankings. PKDD 2007: 265-276 - [c106]Arjun Dasgupta, Gautam Das, Heikki Mannila:
A random walk approach to sampling hidden databases. SIGMOD Conference 2007: 629-640 - 2006
- [j37]Kai Puolamäki, Mikael Fortelius, Heikki Mannila:
Seriation in Paleontological Data Using Markov Chain Monte Carlo Methods. PLoS Comput. Biol. 2(2) (2006) - [c105]Antti Rasinen, Jaakko Hollmén, Heikki Mannila:
Analysis of Linux Evolution Using Aligned Source Code Segments. Discovery Science 2006: 209-218 - [c104]Heikki Mannila:
Finding fragments of orders and total orders from 0-1 data. EGC 2006: 1 - [c103]Robert Gwadera, Aristides Gionis, Heikki Mannila:
Optimal Segmentation Using Tree Models. ICDM 2006: 244-253 - [c102]Nikolaj Tatti, Taneli Mielikäinen, Aristides Gionis, Heikki Mannila:
What is the Dimension of Your Binary Data? ICDM 2006: 603-612 - [c101]Aristides Gionis, Heikki Mannila, Taneli Mielikäinen, Panayiotis Tsaparas:
Assessing data mining results via swap randomization. KDD 2006: 167-176 - [c100]Aristides Gionis, Heikki Mannila, Kai Puolamäki, Antti Ukkonen:
Algorithms for discovering bucket orders from data. KDD 2006: 561-566 - [c99]Hannes Heikinheimo, Heikki Mannila, Jouni K. Seppänen:
Finding Trees from Unordered 0-1 Data. PKDD 2006: 175-186 - [c98]Pauli Miettinen, Taneli Mielikäinen, Aristides Gionis, Gautam Das, Heikki Mannila:
The Discrete Basis Problem. PKDD 2006: 335-346 - [c97]Ella Bingham, Aristides Gionis, Niina Haiminen, Heli Hiisilä, Heikki Mannila, Evimaria Terzi:
Segmentation and dimensionality reduction. SDM 2006: 372-383 - 2005
- [j36]Marko Salmenkivi, Heikki Mannila:
Using Markov chain Monte Carlo and dynamic programming for event sequence data. Knowl. Inf. Syst. 7(3): 267-288 (2005) - [c96]Aristides Gionis, Heikki Mannila, Panayiotis Tsaparas:
Clustering Aggregation. ICDE 2005: 341-352 - [c95]Spiros Papadimitriou, Aristides Gionis, Panayiotis Tsaparas, Risto A. Väisänen, Heikki Mannila, Christos Faloutsos:
Parameter-Free Spatial Data Mining Using MDL. ICDM 2005: 346-353 - [c94]Foto N. Afrati, Gautam Das, Aristides Gionis, Heikki Mannila, Taneli Mielikäinen, Panayiotis Tsaparas:
Mining Chains of Relations. ICDM 2005: 553-556 - [c93]Antti Ukkonen, Mikael Fortelius, Heikki Mannila:
Finding partial orders from unordered 0-1 data. KDD 2005: 285-293 - [c92]Pasi Rastas, Mikko Koivisto, Heikki Mannila, Esko Ukkonen:
A Hidden Markov Technique for Haplotype Reconstruction. WABI 2005: 140-151 - [p2]Marko Salmenkivi, Heikki Mannila:
Piecewise Constant Modeling of Sequential Data Using Reversible Jump Markov Chain Monte Carlo. Data Mining in Bioinformatics 2005: 85-103 - [e5]Jean-François Boulicaut, Luc De Raedt, Heikki Mannila:
Constraint-Based Mining and Inductive Databases, European Workshop on Inductive Databases and Constraint Based Mining, Hinterzarten, Germany, March 11-13, 2004, Revised Selected Papers. Lecture Notes in Computer Science 3848, Springer 2005, ISBN 3-540-31331-1 [contents] - 2004
- [j35]Usama M. Fayyad, Heikki Mannila, Raghu Ramakrishnan:
Editorial. Data Min. Knowl. Discov. 8(1): 5-6 (2004) - [j34]Usama M. Fayyad, Heikki Mannila, Raghu Ramakrishnan:
Editorial. Data Min. Knowl. Discov. 8(2): 95-96 (2004) - [c91]Mikko Koivisto, Teemu Kivioja, Heikki Mannila, Pasi Rastas, Esko Ukkonen:
Hidden Markov Modelling Techniques for Haplotype Analysis. ALT 2004: 37-52 - [c90]Jouni K. Seppänen, Heikki Mannila:
Boolean Formulas and Frequent Sets. Constraint-Based Mining and Inductive Databases 2004: 348-361 - [c89]Foto N. Afrati, Aristides Gionis, Heikki Mannila:
Approximating a collection of frequent sets. KDD 2004: 12-19 - [c88]Jouni K. Seppänen, Heikki Mannila:
Dense itemsets. KDD 2004: 683-688 - [c87]Aristides Gionis, Heikki Mannila, Jouni K. Seppänen:
Geometric and Combinatorial Tiles in 0-1 Data. PKDD 2004: 173-184 - [c86]Floris Geerts, Heikki Mannila, Evimaria Terzi:
Relational link-based ranking. VLDB 2004: 552-563 - [i1]Raghu Ramakrishnan, Rakesh Agrawal, Johann-Christoph Freytag, Toni Bollinger, Christopher W. Clifton, Saso Dzeroski, Jochen Hipp, Daniel A. Keim, Stefan Kramer, Hans-Peter Kriegel, Ulf Leser, Bing Liu, Heikki Mannila, Rosa Meo, Shinichi Morishita, Raymond T. Ng, Jian Pei, Prabhakar Raghavan, Myra Spiliopoulou, Jaideep Srivastava, Vicenç Torra:
Data Mining: The Next Generation. Perspectives Workshop: Data Mining: The Next Generation 2004 - 2003
- [j33]Dmitry Pavlov, Heikki Mannila, Padhraic Smyth:
Beyond Independence: Probabilistic Models for Query Approximation on Binary Transaction Data. IEEE Trans. Knowl. Data Eng. 15(6): 1409-1421 (2003) - [j32]Dimitrios Gunopulos, Roni Khardon, Heikki Mannila, Sanjeev Saluja, Hannu Toivonen, Ram Sewak Sharm:
Discovering all most specific sentences. ACM Trans. Database Syst. 28(2): 140-174 (2003) - [c85]Aristides Gionis, Teija Kujala, Heikki Mannila:
Fragments of order. KDD 2003: 129-136 - [c84]Antti Leino, Heikki Mannila, Ritva Liisa Pitkänen:
Rule Discovery and Probabilistic Modeling for Onomastic Data. PKDD 2003: 291-302 - [c83]Taneli Mielikäinen, Heikki Mannila:
The Pattern Ordering Problem. PKDD 2003: 327-338 - [c82]Jouni K. Seppänen, Ella Bingham, Heikki Mannila:
A Simple Algorithm for Topic Identification in 0-1 Data. PKDD 2003: 423-434 - [c81]Mikko Koivisto, Markus Perola, T. Varilo, W. Hennah, J. Ekelund, Margus Lukk, L. Peltonen, Esko Ukkonen, Heikki Mannila:
An MDL Method for Finding Haplotype Blocks and for Estimating the Strength of Haplotype Block Boundaries. Pacific Symposium on Biocomputing 2003: 502-513 - [c80]Aristides Gionis, Heikki Mannila:
Finding recurrent sources in sequences. RECOMB 2003: 123-130 - [c79]Jaakko Hollmén, Jouni K. Seppänen, Heikki Mannila:
Mixture Models and Frequent Sets: Combining Global and Local Methods for 0-1 Data. SDM 2003: 289-293 - 2002
- [j31]Heikki Mannila, Anne Patrikainen, Jouni K. Seppänen, Juha Kere:
Long-range control of expression in yeast. Bioinform. 18(3): 482-483 (2002) - [j30]Jiawei Han, Russ B. Altman, Vipin Kumar, Heikki Mannila, Daryl Pregibon:
Emerging scientific applications in data mining. Commun. ACM 45(8): 54-58 (2002) - [c78]Marko Salmenkivi, Juha Kere, Heikki Mannila:
Genome segmentation using piecewise constant intensity models and reversible jump MCMC. ECCB 2002: 211-218 - [c77]Heikki Mannila:
Local and Global Methods in Data Mining: Basic Techniques and Open Problems. ICALP 2002: 57-68 - [c76]Carson Kai-Sang Leung, Raymond T. Ng, Heikki Mannila:
OSSM: A Segmentation Approach to Optimize Frequency Counting. ICDE 2002: 583-592 - [c75]Luc De Raedt, Manfred Jaeger, Sau Dan Lee, Heikki Mannila:
A Theory of Inductive Query Answering. ICDM 2002: 123-130 - [c74]Ella Bingham, Heikki Mannila, Jouni K. Seppänen:
Topics in 0--1 data. KDD 2002: 450-455 - [c73]Heikki Mannila:
Combining Pattern Discovery and Probabilistic Modeling in Data Mining. SWAT 2002: 19 - [e4]Tapio Elomaa, Heikki Mannila, Hannu Toivonen:
Machine Learning: ECML 2002, 13th European Conference on Machine Learning, Helsinki, Finland, August 19-23, 2002, Proceedings. Lecture Notes in Computer Science 2430, Springer 2002, ISBN 3-540-44036-4 [contents] - [e3]Tapio Elomaa, Heikki Mannila, Hannu Toivonen:
Principles of Data Mining and Knowledge Discovery, 6th European Conference, PKDD 2002, Helsinki, Finland, August 19-23, 2002, Proceedings. Lecture Notes in Computer Science 2431, Springer 2002, ISBN 3-540-44037-2 [contents] - [e2]Robert L. Grossman, Jiawei Han, Vipin Kumar, Heikki Mannila, Rajeev Motwani:
Proceedings of the Second SIAM International Conference on Data Mining, Arlington, VA, USA, April 11-13, 2002. SIAM 2002, ISBN 978-0-89871-517-0 [contents] - 2001
- [b2]David J. Hand, Heikki Mannila, Padhraic Smyth:
Principles of Data Mining. MIT Press 2001, ISBN 9780262082907 - [j29]Béla Bollobás, Gautam Das, Dimitrios Gunopulos, Heikki Mannila:
Time-Series Similarity Problems and Well-Separated Geometric Sets. Nord. J. Comput. 8(4): 409-423 (2001) - [c72]Heikki Mannila:
Combining Discrete Algorithmic and Probabilistic Approaches in Data Mining. ECML 2001: 601 - [c71]Johan Himberg, Kalle Korpiaho, Heikki Mannila, Johanna Tikanmäki, Hannu Toivonen:
Time Series Segmentation for Context Recognition in Mobile Devices. ICDM 2001: 203-210 - [c70]Igor V. Cadez, Padhraic Smyth, Heikki Mannila:
Probabilistic modeling of transaction data with applications to profiling, visualization, and prediction. KDD 2001: 37-46 - [c69]Ella Bingham, Heikki Mannila:
Random projection in dimensionality reduction: applications to image and text data. KDD 2001: 245-250 - [c68]Heikki Mannila, Marko Salmenkivi:
Finding simple intensity descriptions from event sequence data. KDD 2001: 341-346 - [c67]Heikki Mannila:
Combining Discrete Algorithmic and Probabilistic Approaches in Data Mining. PKDD 2001: 493 - [c66]Heikki Mannila, Dmitry Rusakov:
Decomposition of Event Sequences into Independent Components. SDM 2001: 1-17 - [c65]Heikki Mannila, Jouni K. Seppänen:
Finding similar situations in sequences of events via random projections. SDM 2001: 1-16 - 2000
- [j28]Heikki Mannila:
Theoretical Frameworks for Data Mining. SIGKDD Explor. 1(2): 30-32 (2000) - [c64]Hannu Toivonen, Paivi Onkamo, Kari Vasko, Vesa Ollikainen, Petteri Sevon, Heikki Mannila, Juha Kere:
Gene Mapping by Haplotype Pattern Mining. BIBE 2000: 99-108 - [c63]Heikki Mannila, Padhraic Smyth:
Approximate Query Answering with Frequent Sets and Maximum Entropy. ICDE 2000: 309 - [c62]Heikki Mannila, Christopher Meek:
Global partial orders from sequential data. KDD 2000: 161-168 - [c61]Gautam Das, Heikki Mannila:
Context-Based Similarity Measures for Categorical Databases. PKDD 2000: 201-210 - [c60]Dmitry Pavlov, Heikki Mannila, Padhraic Smyth:
Probabilistic Models for Query Approximation with Large Sparse Binary Data Sets. UAI 2000: 465-472
1990 – 1999
- 1999
- [j27]Roni Khardon, Heikki Mannila, Dan Roth:
Reasoning with Examples: Propositional Formulae and Database Dependencies. Acta Informatica 36(4): 267-286 (1999) - [j26]Mika Klemettinen, Heikki Mannila, Hannu Toivonen:
Interactive exploration of interesting findings in the Telecommunication Network Alarm Sequence Analyzer (TASA). Inf. Softw. Technol. 41(9): 557-567 (1999) - [j25]Yonatan Aumann, Ronen Feldman, Orly Liphstat, Heikki Mannila:
Borders: An Efficient Algorithm for Association Generation in Dynamic Databases. J. Intell. Inf. Syst. 12(1): 61-73 (1999) - [j24]Mika Klemettinen, Heikki Mannila, Hannu Toivonen:
Rule Discovery in Telecommunication Alarm Data. J. Netw. Syst. Manag. 7(4): 395-423 (1999) - [c59]Heikki Mannila, Pirjo Moen:
Similarity between Event Types in Sequences. DaWaK 1999: 271-280 - [c58]Jean-François Boulicaut, Mika Klemettinen, Heikki Mannila:
Modeling KDD Processes within the Inductive Database Framework. DaWaK 1999: 293-302 - [c57]Heikki Mannila:
Inductive Databases (Abstract). ILP 1999: 14 - [c56]Heikki Mannila, Dmitry Pavlov, Padhraic Smyth:
Prediction with Local Patterns using Cross-Entropy. KDD 1999: 357-361 - [c55]Mika Klemettinen, Heikki Mannila, A. Inkeri Verkamo:
Association Rule Selection in a Data Mining Environment. PKDD 1999: 372-377 - 1998
- [c54]Mervi Eerola, Heikki Mannila, Marko Salmenkivi:
Frailty Factors and Time-dependent Hazards in Modelling Ear Infections in Children Using BASSIST. COMPSTAT 1998: 287-292 - [c53]Heikki Mannila, Hannu Toivonen, Atte Korhola, Heikki Olander:
Learning, Mining, or Modeling? A Case Study from Paleocology. Discovery Science 1998: 12-24 - [c52]Gautam Das, King-Ip Lin, Heikki Mannila, Gopal Renganathan, Padhraic Smyth:
Rule Discovery from Time Series. KDD 1998: 16-22 - [c51]Gautam Das, Heikki Mannila, Pirjo Ronkainen:
Similarity of Attributes by External Probes. KDD 1998: 23-29 - [c50]Jean-François Boulicaut, Mika Klemettinen, Heikki Mannila:
Querying Inductive Databases: A Case Study on the MINE RULE Operator. PKDD 1998: 194-202 - 1997
- [j23]Thomas Eiter, Heikki Mannila:
Distance Measures for Point Sets and their Computation. Acta Informatica 34(2): 109-133 (1997) - [j22]Heikki Mannila, Hannu Toivonen:
Levelwise Search and Borders of Theories in Knowledge Discovery. Data Min. Knowl. Discov. 1(3): 241-258 (1997) - [j21]Heikki Mannila, Hannu Toivonen, A. Inkeri Verkamo:
Discovery of Frequent Episodes in Event Sequences. Data Min. Knowl. Discov. 1(3): 259-289 (1997) - [j20]Thomas Eiter, Georg Gottlob, Heikki Mannila:
Disjunctive Datalog. ACM Trans. Database Syst. 22(3): 364-418 (1997) - [c49]Béla Bollobás, Gautam Das, Dimitrios Gunopulos, Heikki Mannila:
Time-Series Similarity Problems and Well-Separated Geometric Sets. SCG 1997: 454-456 - [c48]Mika Klemettinen, Heikki Mannila, Hannu Toivonen:
A Data Mining Methodology and Its Application to Semi-automatic Knowledge Acquisition. DEXA Workshop 1997: 670-677 - [c47]Ronen Feldman, Yonatan Aumann, Amihood Amir, Heikki Mannila:
Efficient Algorithms for Discovering Frequent Sets in Incremental Databases. DMKD 1997 - [c46]Heikki Mannila:
Methods and Problems in Data Mining. ICDT 1997: 41-55 - [c45]Dimitrios Gunopulos, Heikki Mannila, Sanjeev Saluja:
Discovering All Most Specific Sentences by Randomized Algorithms. ICDT 1997: 215-229 - [c44]Gautam Das, Dimitrios Gunopulos, Heikki Mannila:
Finding Similar Time Series. PKDD 1997: 88-100 - [c43]Dimitrios Gunopulos, Roni Khardon, Heikki Mannila, Hannu Toivonen:
Data mining, Hypergraph Transversals, and Machine Learning. PODS 1997: 209-216 - [c42]Heikki Mannila:
Inductive Databases and Condensed Representations for Data Mining. ILPS 1997: 21-30 - [c41]Heikki Mannila, Pirjo Ronkainen:
Similarity of Event Sequences. TIME 1997: 136-139 - [e1]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, ISBN 1-57735-027-8 [contents] - 1996
- [j19]Tomasz Imielinski, Heikki Mannila:
A Database Perspective on Knowledge Discovery. Commun. ACM 39(11): 58-64 (1996) - [c40]Heikki Mannila:
Schema Design and Knowledge Discovery (Abstract). ER 1996: 27 - [c39]Kimmo Hätönen, Mika Klemettinen, Heikki Mannila, Pirjo Ronkainen, Hannu Toivonen:
Knowledge Discovery from Telecommunication Network Alarm Databases. ICDE 1996: 115-122 - [c38]Heikki Mannila:
Data Mining and Machine Learning (Abstract). ICML 1996: 555 - [c37]Heikki Mannila, Hannu Toivonen:
Discovering Generalized Episodes Using Minimal Occurrences. KDD 1996: 146-151 - [c36]Heikki Mannila, Hannu Toivonen:
Multiple Uses of Frequent Sets and Condensed Representations (Extended Abstract). KDD 1996: 189-194 - [c35]Kimmo Hätönen, Mika Klemettinen, Heikki Mannila, Pirjo Ronkainen, Hannu Toivonen:
TASA: Telecommunication Alarm Sequence Analyzer or how to enjoy faults in your network. NOMS 1996: 520-529 - [c34]Heikki Mannila:
Data Mining: Machine Learning, Statistics, and Databases. SSDBM 1996: 2-9 - [p1]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 - 1995
- [j18]Thomas Eiter, Pekka Kilpeläinen, Heikki Mannila:
Recognizing Renamable Generalized Propositional Horn Formulas Is NP-complete. Discret. Appl. Math. 59(1): 23-31 (1995) - [j17]Pekka Kilpeläinen, Heikki Mannila:
Ordered and Unordered Tree Inclusion. SIAM J. Comput. 24(2): 340-356 (1995) - [j16]Jyrki Kivinen, Heikki Mannila:
Approximate Inference of Functional Dependencies from Relations. Theor. Comput. Sci. 149(1): 129-149 (1995) - [c33]Pekka Kilpeläinen, Heikki Mannila, Esko Ukkonen:
MDL learning of unions of simple pattern languages from positive examples. EuroCOLT 1995: 252-260 - [c32]Heikki Mannila:
Aspects of Knowledge Discovery and Data Mining. Grundlagen von Datenbanken 1995: 1-6 - [c31]Marcel Holsheimer, Martin L. Kersten, Heikki Mannila, Hannu Toivonen:
A Perspective on Databases and Data Mining. KDD 1995: 150-155 - [c30]Heikki Mannila, Hannu Toivonen, A. Inkeri Verkamo:
Discovering Frequent Episodes in Sequences. KDD 1995: 210-215 - 1994
- [j15]Heikki Mannila, Kari-Jouko Räihä:
Algorithms for Inferring Functional Dependencies from Relations. Data Knowl. Eng. 12(1): 83-99 (1994) - [c29]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 - [c28]Pekka Kilpeläinen, Heikki Mannila:
Query Primitives for Tree-Structured Data. CPM 1994: 213-225 - [c27]Jyrki Kivinen, Heikki Mannila, Esko Ukkonen, Jaak Vilo:
An ALgorithm for Learning Hierarchical Classifiers. ECML 1994: 375-378 - [c26]Thomas Eiter, Georg Gottlob, Heikki Mannila:
Disjunctive Logic Programming over Finite Structures. GI Jahrestagung 1994: 69-73 - [c25]Helena Ahonen, Heikki Mannila, Erja Nikunen:
Forming Grammars for Structured Documents: an Application of Grammatical Inference. ICGI 1994: 153-167 - [c24]Thomas Eiter, Georg Gottlob, Heikki Mannila:
Expressive Power and Complexity of Disjunctive Datalog under the Stable Model Semantics. IS/KI 1994: 83-103 - [c23]Heikki Mannila, Hannu Toivonen, A. Inkeri Verkamo:
Efficient Algorithms for Discovering Association Rules. KDD Workshop 1994: 181-192 - [c22]Jyrki Kivinen, Heikki Mannila:
The Power of Sampling in Knowledge Discovery. PODS 1994: 77-85 - [c21]Thomas Eiter, Georg Gottlob, Heikki Mannila:
Adding Disjunction to Datalog. PODS 1994: 267-278 - 1993
- [j14]Vladimir Estivill-Castro, Heikki Mannila, Derick Wood:
Right Invariant Metrics and Measures of Presortedness. Discret. Appl. Math. 42(1): 1-16 (1993) - [c20]Jyrki Kivinen, Heikki Mannila, Esko Ukkonen:
Learning rules with local exceptions. EuroCOLT 1993: 35-46 - [c19]Pekka Kilpeläinen, Heikki Mannila:
Retrieval from Hierarchical Texts by Partial Patterns. SIGIR 1993: 214-222 - 1992
- [b1]Heikki Mannila, Kari-Jouko Räihä:
Design of Relational Databases. Addison-Wesley 1992, ISBN 0-201-56523-4 - [j13]Heikki Mannila, Kari-Jouko Räihä:
On the Complexity of Inferring Functional Dependencies. Discret. Appl. Math. 40(2): 237-243 (1992) - [j12]Martti Kantola, Heikki Mannila, Kari-Jouko Räihä, Harri Siirtola:
Discovering functional and inclusion dependencies in relational databases. Int. J. Intell. Syst. 7(7): 591-607 (1992) - [c18]Jyrki Kivinen, Heikki Mannila, Esko Ukkonen:
Learning Hierarchical Rule Sets. COLT 1992: 37-44 - [c17]Pekka Kilpeläinen, Heikki Mannila:
Grammatical Tree Matching. CPM 1992: 162-174 - [c16]Jyrki Kivinen, Heikki Mannila:
Approximate Dependency Inference from Relations. ICDT 1992: 86-98 - 1991
- [c15]Pekka Kilpeläinen, Heikki Mannila:
The Tree Inclusion Problem. TAPSOFT, Vol.1 1991: 202-214 - 1990
- [j11]Pekka Kilpeläinen, Heikki Mannila:
Generation of test cases for simple prolog programs. Acta Cybern. 9(3): 235-246 (1990) - [j10]Heikki Mannila, Esko Ukkonen:
Unifications, Deunifications, and Their Complexity. BIT 30(4): 599-619 (1990)
1980 – 1989
- 1989
- [j9]Heikki Mannila, Kari-Jouko Räihä:
Automatic Generation of Test Data for Relational Queries. J. Comput. Syst. Sci. 38(2): 240-258 (1989) - [c14]Heikki Mannila, Kari-Jouko Räihä:
Practical Algorithms for Finding Prime Attributes and Testing Normal Forms. PODS 1989: 128-133 - 1988
- [c13]Heikki Mannila, Esko Ukkonen:
Time Parameter and Arbitrary Deunions in the Set Union Problem. SWAT 1988: 34-42 - 1987
- [c12]Heikki Mannila, Esko Ukkonen:
Flow Analysis of Prolog Programs. SLP 1987: 205-214 - [c11]Heikki Mannila, Kari-Jouko Räihä:
Dependency Inference. VLDB 1987: 155-158 - 1986
- [j8]Heikki Mannila, Kari-Jouko Räihä:
Design by Example: An Application of Armstrong Relations. J. Comput. Syst. Sci. 33(2): 126-141 (1986) - [c10]Heikki Mannila, Esko Ukkonen:
The Set Union Problem with Backtracking. ICALP 1986: 236-243 - [c9]Heikki Mannila, Kari-Jouko Räihä:
Inclusion Dependencies in Database Design. ICDE 1986: 713-718 - [c8]Heikki Mannila, Esko Ukkonen:
On the Complexity of Unification Sequences. ICLP 1986: 122-133 - [c7]Heikki Mannila, Kari-Jouko Räihä:
Test Data for Relational Queries. PODS 1986: 217-223 - [c6]Heikki Mannila, Esko Ukkonen:
Timestamped Term Representation for Implementing Prolog. SLP 1986: 159-165 - 1985
- [j7]Heikki Mannila, Kurt Mehlhorn:
A Fast Algorithm for Renaming a Set of Clauses as a Horn Set. Inf. Process. Lett. 21(5): 269-272 (1985) - [j6]Heikki Mannila:
Measures of Presortedness and Optimal Sorting Algorithms. IEEE Trans. Computers 34(4): 318-325 (1985) - [j5]Ralph-Johan Back, Heikki Mannila:
On the Suitability of Trace Semantics for Modular Proofs of Communicating Processes. Theor. Comput. Sci. 39: 47-68 (1985) - [c5]Heikki Mannila, Kari-Jouko Räihä:
Small Armstrong Relations for Database Design. PODS 1985: 245-250 - 1984
- [j4]Ralph-Johan Back, Heikki Mannila:
A Semantic Approach to Program Modularity. Inf. Control. 60(1-3): 138-167 (1984) - [j3]Heikki Mannila, Esko Ukkonen:
A Simple Linear-Time Algorithm for in Situ Merging. Inf. Process. Lett. 18(4): 203-208 (1984) - [c4]Heikki Mannila:
Measures of Presortedness and Optimal Sorting Algorithms (Extended Abstract). ICALP 1984: 324-336 - 1983
- [j2]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) - [j1]Heikki Mannila:
A topological characterization of (λ, μ)*-compactness. Ann. Pure Appl. Log. 25(3): 301-305 (1983) - [c3]Ralph-Johan Back, Heikki Mannila, Kari-Jouko Räihä:
Derivation of Efficient DAG Marking Algorithms. POPL 1983: 20-27 - 1982
- [c2]Ralph-Johan Back, Heikki Mannila:
Locality in Modular Systems. ICALP 1982: 1-13 - [c1]Ralph-Johan Back, Heikki Mannila:
A Refinement of Kahn's Semantic to Handle Non-Determinism and Communication (Extended Abstract). PODC 1982: 111-120
Coauthor Index
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