Heikki Mannila


Ontology type: schema:Person     


Person Info

NAME

Heikki

SURNAME

Mannila

Publications in SciGraph latest 50 shown

  • 2012 Mining Chains of Relations in DATA MINING: FOUNDATIONS AND INTELLIGENT PARADIGMS
  • 2011-12 Randomization techniques for assessing the significance of gene periodicity results in BMC BIOINFORMATICS
  • 2011-07 Banded structure in binary matrices in KNOWLEDGE AND INFORMATION SYSTEMS
  • 2011 Permutation Structure in 0-1 Data in MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES
  • 2011 Analyzing Word Frequencies in Large Text Corpora Using Inter-arrival Times and Bootstrapping in MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES
  • 2011 A Shapley Value Approach for Influence Attribution in MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES
  • 2010-11-18 A Theory of Inductive Query Answering in INDUCTIVE DATABASES AND CONSTRAINT-BASED DATA MINING
  • 2010 Gaussian Clusters and Noise: An Approach Based on the Minimum Description Length Principle in DISCOVERY SCIENCE
  • 2009 Applying Electromagnetic Field Theory Concepts to Clustering with Constraints in MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES
  • 2009 Randomization Methods for Assessing the Significance of Data Mining Results in FOUNDATIONS OF INTELLIGENT SYSTEMS
  • 2008-12 Determining significance of pairwise co-occurrences of events in bursty sequences in BMC BIOINFORMATICS
  • 2008-09 Evaluation of HapMap data in six populations of European descent in EUROPEAN JOURNAL OF HUMAN GENETICS
  • 2008-06 Optimal segmentation using tree models in KNOWLEDGE AND INFORMATION SYSTEMS
  • 2008 Feature Selection in Taxonomies with Applications to Paleontology in DISCOVERY SCIENCE
  • 2008 Finding Total and Partial Orders from Data for Seriation in DISCOVERY SCIENCE
  • 2008 Finding Total and Partial Orders from Data for Seriation in ALGORITHMIC LEARNING THEORY
  • 2008 Randomization Techniques for Data Mining Methods in ADVANCES IN DATABASES AND INFORMATION SYSTEMS
  • 2007-12 Comparing segmentations by applying randomization techniques in BMC BIOINFORMATICS
  • 2007-05 Constrained hidden Markov models for population-based haplotyping in BMC BIOINFORMATICS
  • 2007 Recurrent Predictive Models for Sequence Segmentation in ADVANCES IN INTELLIGENT DATA ANALYSIS VII
  • 2007 Finding Outlying Items in Sets of Partial Rankings in KNOWLEDGE DISCOVERY IN DATABASES: PKDD 2007
  • 2006 The Discrete Basis Problem in KNOWLEDGE DISCOVERY IN DATABASES: PKDD 2006
  • 2006 Analysis of Linux Evolution Using Aligned Source Code Segments in DISCOVERY SCIENCE
  • 2006 Finding Trees from Unordered 0–1 Data in KNOWLEDGE DISCOVERY IN DATABASES: PKDD 2006
  • 2006 Boolean Formulas and Frequent Sets in CONSTRAINT-BASED MINING AND INDUCTIVE DATABASES
  • 2005-03 Using Markov chain Monte Carlo and dynamic programming for event sequence data in KNOWLEDGE AND INFORMATION SYSTEMS
  • 2005 Piecewise Constant Modeling of Sequential Data Using Reversible Jump Markov Chain Monte Carlo in DATA MINING IN BIOINFORMATICS
  • 2005 A Hidden Markov Technique for Haplotype Reconstruction in ALGORITHMS IN BIOINFORMATICS
  • 2004-03 Editorial in DATA MINING AND KNOWLEDGE DISCOVERY
  • 2004-01 Editorial in DATA MINING AND KNOWLEDGE DISCOVERY
  • 2004 Hidden Markov Modelling Techniques for Haplotype Analysis in ALGORITHMIC LEARNING THEORY
  • 2004 Geometric and Combinatorial Tiles in 0–1 Data in KNOWLEDGE DISCOVERY IN DATABASES: PKDD 2004
  • 2003-01-14 Learning, Mining, or Modeling? A Case Study from Paleoecology in DISCOVEY SCIENCE
  • 2003 Rule Discovery and Probabilistic Modeling for Onomastic Data in KNOWLEDGE DISCOVERY IN DATABASES: PKDD 2003
  • 2003 The Pattern Ordering Problem in KNOWLEDGE DISCOVERY IN DATABASES: PKDD 2003
  • 2003 A Simple Algorithm for Topic Identification in 0–1 Data in KNOWLEDGE DISCOVERY IN DATABASES: PKDD 2003
  • 2002-11 Expression of myeloid-specific genes in childhood acute lymphoblastic leukemia – a cDNA array study in LEUKEMIA
  • 2002-07-18 Context-Based Similarity Measures for Categorical Databases in PRINCIPLES OF DATA MINING AND KNOWLEDGE DISCOVERY
  • 2002-03-01 Similarity between Event Types in Sequences in DATAWAREHOUSING AND KNOWLEDGE DISCOVERY
  • 2002-03-01 Modeling KDD Processes within the Inductive Database Framework in DATAWAREHOUSING AND KNOWLEDGE DISCOVERY
  • 2002 Local and Global Methods in Data Mining: Basic Techniques and Open Problems in AUTOMATA, LANGUAGES AND PROGRAMMING
  • 2002 Combining Pattern Discovery and Probabilistic Modeling in Data Mining in ALGORITHM THEORY — SWAT 2002
  • 2001 Combining Discrete Algorithmic and Probabilistic Approaches in Data Mining in MACHINE LEARNING: ECML 2001
  • 2001 Combining Discrete Algorithmic and Probabilistic Approaches in Data Mining in PRINCIPLES OF DATA MINING AND KNOWLEDGE DISCOVERY
  • 2000-10 The IL9R region contribution in asthma is supported by genetic association in an isolated population in EUROPEAN JOURNAL OF HUMAN GENETICS
  • 1999-12 Rule Discovery in Telecommunication Alarm Data in JOURNAL OF NETWORK AND SYSTEMS MANAGEMENT
  • 1999-07 Reasoning with examples: propositional formulae and database dependencies in ACTA INFORMATICA
  • 1999 Inductive Databases in INDUCTIVE LOGIC PROGRAMMING
  • 1999 Association Rule Selection in a Data Mining Environment in PRINCIPLES OF DATA MINING AND KNOWLEDGE DISCOVERY
  • 1998 Querying inductive databases: A case study on the MINE RULE operator in PRINCIPLES OF DATA MINING AND KNOWLEDGE DISCOVERY
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