Heikki Mannila - researchr alias

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2011

2010

Algorithms and Applications, Essays Dedicated to Esko Ukkonen on the Occasion of His 60th BirthdayTapio Elomaa, Heikki Mannila, Pekka Orponen, editors, Volume 6060 of Lecture Notes in Computer Science, Springer, 2010. [doi]

Algorithms and Applications, Essays Dedicated to Esko Ukkonen on the Occasion of His 60th BirthdayTapio Elomaa, Heikki Mannila, Pekka Orponen, editors, Volume 6060 of Lecture Notes in Computer Science, Springer, 2010. [doi]

Evaluation of BIC and Cross Validation for model selection on sequence segmentationsNiina Haiminen, Heikki Mannila. ijdmb, 4(6):675-700, 2010. [doi]

Finding effectors in social networksTheodoros Lappas, Evimaria Terzi, Dimitrios Gunopulos, Heikki Mannila. kdd 2010: 1059-1068 [doi]

Gaussian Clusters and Noise: An Approach Based on the Minimum Description Length PrinciplePanu Luosto, Jyrki Kivinen, Heikki Mannila. dis 2010: 251-265 [doi]

Evaluating Query Result Significance in Databases via RandomizationsMarkus Ojala, Gemma C. Garriga, Aristides Gionis, Heikki Mannila. sdm 2010: 906-917 [doi]

2009

Complexity control in a mixture model by the Hardy-Weinberg equilibriumElla Bingham, Heikki Mannila. csda, 53(5):1711-1719, 2009. [doi]

Approximating the Minimum Chain Completion problemTomÃ¡s Feder, Heikki Mannila, Evimaria Terzi. ipl, 109(17):980-985, 2009. [doi]

Applying Electromagnetic Field Theory Concepts to Clustering with ConstraintsHuseyin Hakkoymaz, Georgios Chatzimilioudis, Dimitrios Gunopulos, Heikki Mannila. pkdd 2009: 485-500 [doi]

Tell me something I don t know: randomization strategies for iterative data miningSami Hanhijärvi, Markus Ojala, Niko Vuokko, Kai Puolamäki, Nikolaj Tatti, Heikki Mannila. kdd 2009: 379-388 [doi]

Low-Entropy Set SelectionHannes Heikinheimo, Jilles Vreeken, Arno Siebes, Heikki Mannila. sdm 2009: 569-580 [doi]

ACM TKDD special issue ACM SIGKDD 2007 and ACM SIGKDD 2008Heikki Mannila, Dimitrios Gunopulos. tkdd, 3(4), 2009. [doi]

Finding Links and Initiators: A Graph-Reconstruction ProblemHeikki Mannila, Evimaria Terzi. sdm 2009: 1207-1217 [doi]

Randomization methods in data miningHeikki Mannila. kdd 2009: 5-6 [doi]

Randomization Methods for Assessing the Significance of Data Mining ResultsHeikki Mannila. ismis 2009: 1 [doi]

Determining Attributes to Maximize Visibility of ObjectsMuhammed Miah, Gautam Das, Vagelis Hristidis, Heikki Mannila. tkde, 21(7):959-973, 2009. [doi]

Randomization methods for assessing data analysis results on real-valued matricesMarkus Ojala, Niko Vuokko, Aleksi Kallio, Niina Haiminen, Heikki Mannila. sadm, 2(4):209-230, 2009. [doi]

Proceedings of the ACM SIGKDD Workshop on Visual Analytics and Knowledge Discovery: Integrating Automated Analysis with Interactive Exploration, Paris, France, June 28, 2009Kai PuolamÃ¤ki, Heikki Mannila, Alessio Bertone, Silvia Miksch, editors, ACM, 2009.

A randomized approximation algorithm for computing bucket ordersAntti Ukkonen, Kai PuolamÃ¤ki, Aristides Gionis, Heikki Mannila. ipl, 109(7):356-359, 2009. [doi]

2008

Finding Subgroups having Several Descriptions: Algorithms for Redescription MiningArianna Gallo, Pauli Miettinen, Heikki Mannila. sdm 2008: 334-345 [doi]

Feature Selection in Taxonomies with Applications to PaleontologyGemma C. Garriga, Antti Ukkonen, Heikki Mannila. dis 2008: 112-123 [doi]

Banded structure in binary matricesGemma C. Garriga, Esa Junttila, Heikki Mannila. kdd 2008: 292-300 [doi]

Mining Association Rules of Simple Conjunctive QueriesBart Goethals, Wim Le Page, Heikki Mannila. sdm 2008: 96-107 [doi]

Optimal segmentation using tree modelsRobert Gwadera, Aristides Gionis, Heikki Mannila. kais, 15(3):259-283, 2008. [doi]

Determining significance of pairwise co-occurrences of events in bursty sequencesNiina Haiminen, Heikki Mannila, Evimaria Terzi. bmcbi, 9, 2008. [doi]

Finding Total and Partial Orders from Data for SeriationHeikki Mannila. alt 2008: 4 [doi]

Randomization Techniques for Data Mining MethodsHeikki Mannila. adbis 2008: 1 [doi]

Finding Total and Partial Orders from Data for SeriationHeikki Mannila. dis 2008: 16-25 [doi]

Randomization Techniques for Data Mining MethodsHeikki Mannila. adbis 2008: 1

Standing Out in a Crowd: Selecting Attributes for Maximum VisibilityMuhammed Miah, Gautam Das, Vagelis Hristidis, Heikki Mannila. icde 2008: 356-365 [doi]

The Discrete Basis ProblemPauli Miettinen, Taneli Mielikäinen, Aristides Gionis, Gautam Das, Heikki Mannila. tkde, 20(10):1348-1362, 2008. [doi]

Randomization of real-valued matrices for assessing the significance of data mining resultsMarkus Ojala, Niko Vuokko, Aleksi Kallio, Niina Haiminen, Heikki Mannila. sdm 2008: 494-505 [doi]

2007

A random walk approach to sampling hidden databasesArjun Dasgupta, Gautam Das, Heikki Mannila. sigmod 2007: 629-640 [doi]

Clustering aggregationAristides Gionis, Heikki Mannila, Panayiotis Tsaparas. tkdd, 1(1), 2007. [doi]

Assessing data mining results via swap randomizationAristides Gionis, Heikki Mannila, Taneli Mielikäinen, Panayiotis Tsaparas. tkdd, 1(3), 2007. [doi]

Comparing segmentations by applying randomization techniquesNiina Haiminen, Heikki Mannila, Evimaria Terzi. bmcbi, 8, 2007. [doi]

Finding low-entropy sets and trees from binary dataHannes Heikinheimo, Jouni K. Seppänen, Eino Hinkkanen, Heikki Mannila, Taneli Mielikäinen. kdd 2007: 350-359 [doi]

Recurrent Predictive Models for Sequence SegmentationSaara Hyvönen, Aristides Gionis, Heikki Mannila. ida 2007: 195-206 [doi]

Constrained hidden Markov models for population-based haplotypingNiels Landwehr, Taneli Mielikäinen, Lauri Eronen, Hannu Toivonen, Heikki Mannila. bmcbi, 8(S-2), 2007. [doi]

Nestedness and segmented nestednessHeikki Mannila, Evimaria Terzi. kdd 2007: 480-489 [doi]

Finding Outlying Items in Sets of Partial RankingsAntti Ukkonen, Heikki Mannila. pkdd 2007: 265-276 [doi]

2006

Segmentation and dimensionality reductionElla Bingham, Aristides Gionis, Niina Haiminen, Heli Hiisilä, Heikki Mannila, Evimaria Terzi. sdm 2006: [doi]

Assessing data mining results via swap randomizationAristides Gionis, Heikki Mannila, Taneli Mielikäinen, Panayiotis Tsaparas. kdd 2006: 167-176 [doi]

Algorithms for discovering bucket orders from dataAristides Gionis, Heikki Mannila, Kai Puolamäki, Antti Ukkonen. kdd 2006: 561-566 [doi]

Optimal Segmentation Using Tree ModelsRobert Gwadera, Aristides Gionis, Heikki Mannila. icdm 2006: 244-253 [doi]

Finding Trees from Unordered 0-1 DataHannes Heikinheimo, Heikki Mannila, Jouni K. Seppänen. pkdd 2006: 175-186 [doi]

Finding fragments of orders and total orders from 0-1 dataHeikki Mannila. f-egc 2006: 1

The Discrete Basis ProblemPauli Miettinen, Taneli Mielikäinen, Aristides Gionis, Gautam Das, Heikki Mannila. pkdd 2006: 335-346 [doi]

Analysis of Linux Evolution Using Aligned Source Code SegmentsAntti Rasinen, Jaakko Hollmén, Heikki Mannila. dis 2006: 209-218 [doi]

What is the Dimension of Your Binary Data?Nikolaj Tatti, Taneli Mielikäinen, Aristides Gionis, Heikki Mannila. icdm 2006: 603-612 [doi]

2005

Mining Chains of RelationsFoto N. Afrati, Gautam Das, Aristides Gionis, Heikki Mannila, Taneli Mielikäinen, Panayiotis Tsaparas. icdm 2005: 553-556 [doi]

Constraint-Based Mining and Inductive Databases, European Workshop on Inductive Databases and Constraint Based Mining, Hinterzarten, Germany, March 11-13, 2004, Revised Selected PapersJean-François Boulicaut, Luc De Raedt, Heikki Mannila, editors, Volume 3848 of Lecture Notes in Computer Science, Springer, 2005.

Clustering AggregationAristides Gionis, Heikki Mannila, Panayiotis Tsaparas. icde 2005: 341-352 [doi]

Parameter-Free Spatial Data Mining Using MDLSpiros Papadimitriou, Aristides Gionis, Panayiotis Tsaparas, Risto A. Väisänen, Heikki Mannila, Christos Faloutsos. icdm 2005: 346-353 [doi]

A Hidden Markov Technique for Haplotype ReconstructionPasi Rastas, Mikko Koivisto, Heikki Mannila, Esko Ukkonen. wabi 2005: 140-151 [doi]

Piecewise Constant Modeling of Sequential Data Using Reversible Jump Markov Chain Monte CarloMarko Salmenkivi, Heikki Mannila. In Jason Tsong-Li Wang, Mohammed Javeed Zaki, Hannu Toivonen, Dennis Shasha, editors, Data Mining in Bioinformatics. pages 85-103, Springer, 2005.

Using Markov chain Monte Carlo and dynamic programming for event sequence dataMarko Salmenkivi, Heikki Mannila. kais, 7(3):267-288, 2005. [doi]

Finding partial orders from unordered 0-1 dataAntti Ukkonen, Mikael Fortelius, Heikki Mannila. kdd 2005: 285-293 [doi]

2004

Approximating a collection of frequent setsFoto N. Afrati, Aristides Gionis, Heikki Mannila. kdd 2004: 12-19 [doi]

EditorialUsama M. Fayyad, Heikki Mannila, Raghu Ramakrishnan. datamine, 8(2):95-96, 2004. [doi]

EditorialUsama M. Fayyad, Heikki Mannila, Raghu Ramakrishnan. datamine, 8(1):5-6, 2004. [doi]

Relational link-based rankingFloris Geerts, Heikki Mannila, Evimaria Terzi. VLDB 2004: 552-563 [doi]

Geometric and Combinatorial Tiles in 0-1 DataAristides Gionis, Heikki Mannila, Jouni K. Seppänen. pkdd 2004: 173-184 [doi]

Hidden Markov Modelling Techniques for Haplotype AnalysisMikko Koivisto, Teemu Kivioja, Heikki Mannila, Pasi Rastas, Esko Ukkonen. alt 2004: 37-52 [doi]

Boolean Formulas and Frequent SetsJouni K. Seppänen, Heikki Mannila. cinq 2005: 348-361 [doi]

Dense itemsetsJouni K. Seppänen, Heikki Mannila. kdd 2004: 683-688 [doi]

2003

Fragments of orderAristides Gionis, Teija Kujala, Heikki Mannila. kdd 2003: 129-136 [doi]

Finding recurrent sources in sequencesAristides Gionis, Heikki Mannila. recomb 2003: 123-130 [doi]

Discovering all most specific sentencesDimitrios Gunopulos, Roni Khardon, Heikki Mannila, Sanjeev Saluja, Hannu Toivonen, Ram Sewak Sharm. tods, 28(2):140-174, 2003. [doi]

Mixture Models and Frequent Sets: Combining Global and Local Methods for 0-1 DataJaakko Hollmén, Jouni K. Seppänen, Heikki Mannila. sdm 2003: [doi]

An MDL Method for Finding Haplotype Blocks and for Estimating the Strength of Haplotype Block BoundariesMikko Koivisto, Markus Perola, T. Varilo, W. Hennah, J. Ekelund, Margus Lukk, L. Peltonen, Esko Ukkonen, Heikki Mannila. psb 2003: 502-513 [doi]

Rule Discovery and Probabilistic Modeling for Onomastic DataAntti Leino, Heikki Mannila, Ritva Liisa Pitkänen. pkdd 2003: 291-302 [doi]

The Pattern Ordering ProblemTaneli Mielikäinen, Heikki Mannila. pkdd 2003: 327-338 [doi]

Beyond Independence: Probabilistic Models for Query Approximation on Binary Transaction DataDmitry Pavlov, Heikki Mannila, Padhraic Smyth. tkde, 15(6):1409-1421, 2003. [doi]

A Simple Algorithm for Topic Identification in 0-1 DataJouni K. Seppänen, Ella Bingham, Heikki Mannila. pkdd 2003: 423-434 [doi]

2002

Topics in 0--1 dataElla Bingham, Heikki Mannila, Jouni K. Seppänen. kdd 2002: 450-455 [doi]

Principles of Data Mining and Knowledge Discovery, 6th European Conference, PKDD 2002, Helsinki, Finland, August 19-23, 2002, ProceedingsTapio Elomaa, Heikki Mannila, Hannu Toivonen, editors, Volume 2431 of Lecture Notes in Computer Science, Springer, 2002.

Machine Learning: ECML 2002, 13th European Conference on Machine Learning, Helsinki, Finland, August 19-23, 2002, ProceedingsTapio Elomaa, Heikki Mannila, Hannu Toivonen, editors, Volume 2430 of Lecture Notes in Computer Science, Springer, 2002.

Proceedings of the Second SIAM International Conference on Data Mining, Arlington, VA, USA, April 11-13, 2002Robert L. Grossman, Jiawei Han, Vipin Kumar, Heikki Mannila, Rajeev Motwani, editors, SIAM, 2002.

Emerging scientific applications in data miningJiawei Han, Russ B. Altman, Vipin Kumar, Heikki Mannila, Daryl Pregibon. CACM, 45(8):54-58, 2002. [doi]

OSSM: A Segmentation Approach to Optimize Frequency CountingCarson Kai-Sang Leung, Raymond T. Ng, Heikki Mannila. icde 2002: 583-592 [doi]

Long-range control of expression in yeastHeikki Mannila, Anne Patrikainen, Jouni K. Seppänen, Juha Kere. bioinformatics, 18(3):482-483, 2002.

Combining Pattern Discovery and Probabilistic Modeling in Data MiningHeikki Mannila. swat 2002: 19 [doi]

Local and Global Methods in Data Mining: Basic Techniques and Open ProblemsHeikki Mannila. icalp 2002: 57-68 [doi]

A Theory of Inductive Query AnsweringLuc De Raedt, Manfred Jaeger, Sau Dan Lee, Heikki Mannila. icdm 2002: 123-130 [doi]

Genome segmentation using piecewise constant intensity models and reversible jump MCMCMarko Salmenkivi, Juha Kere, Heikki Mannila. eccb 2002: 211-218

2001

Random projection in dimensionality reduction: applications to image and text dataElla Bingham, Heikki Mannila. kdd 2001: 245-250 [doi]

Time-Series Similarity Problems and Well-Separated Geometric SetsBéla Bollobás, Gautam Das, Dimitrios Gunopulos, Heikki Mannila. njc, 8(4):409-423, 2001. [doi]

Probabilistic modeling of transaction data with applications to profiling, visualization, and predictionIgor V. Cadez, Padhraic Smyth, Heikki Mannila. kdd 2001: 37-46 [doi]

Time Series Segmentation for Context Recognition in Mobile DevicesJohan Himberg, Kalle Korpiaho, Heikki Mannila, Johanna Tikanmäki, Hannu Toivonen. icdm 2001: 203-210 [doi]

Combining Discrete Algorithmic and Probabilistic Approaches in Data MiningHeikki Mannila. ecml 2001: 601 [doi]

Combining Discrete Algorithmic and Probabilistic Approaches in Data MiningHeikki Mannila. pkdd 2001: 493 [doi]

Finding simple intensity descriptions from event sequence dataHeikki Mannila, Marko Salmenkivi. kdd 2001: 341-346 [doi]

2000

Approximate Query Answering with Frequent Sets and Maximum EntropyHeikki Mannila, Padhraic Smyth. icde 2000: 309 [doi]

Gene Mapping by Haplotype Pattern MiningHannu Toivonen, Paivi Onkamo, Kari Vasko, Vesa Ollikainen, Petteri Sevon, Heikki Mannila, Juha Kere. bibe 2000: 99-108

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