Niina Haiminen and Mining - Free people check

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Reading List 2

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Ella Bingham, Aristides Gionis, Niina Haiminen, Heli Hiisilä, Heikki Mannila, Evimaria Terzi, SIAM Conference on Data Mining, April , 2006, Bethesda ...

Niina Haiminen | LibraryThing

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Niina Haiminen, author of Mining Sequential Data - in Search of Segmental Structures, on LibraryThing

Inductive Databases and Constraint-Based Data Mining - Google Books

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Niina Haiminen. Mining sequential data — in search of segmental structure. PhD Thesis, Department of Computer Science, University of Helsinki, March

Proceedings of the Sixth SIAM International Conference on Data Mining...

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Segmentation and dimensionality reduction Niina Haiminen Evimaria Terzi HIIT Basic Research Unit University of Helsinki and Helsinki University of ...

Mining sequential data: in search of segmental structures - Niina...

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Mining sequential data: in search of segmental structures. Front Cover. Niina Haiminen. University of Helsinki, Reviews ...

Determining significance of pairwise co-occurrences of events in ...bmcbioinformatics.biomedcentral.com › articles

bmcbioinformatics.biomedcentral.com

Aug 8, · Determining significance of pairwise co-occurrences of events in bursty sequences. Niina Haiminen,; Heikki Mannila &; Evimaria Terzi.

ICDM '04 : The Fourth IEEE International Conference on Data Mining

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David Gondek, Brown; Niina Haiminen, Helsinki Institute for Information Technology; Robert Gwadera, Purdue University; Pei Sun, University of Sydney; Jennifer ...

Data Mining - Wiki

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menting of the PCA representation of the data. • Ella Bingham, Aristides Gionis, Niina Haiminen, Heli Hiisilä, Heik- ki Mannila, Evimaria Terzi, ”Segmentation and ...

All web results to the name "Niina Haiminen"

‪Evimaria Terzi‬ - ‪Google Scholar‬

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‪Professor of Computer Science, Boston University‬ - ‪‪Cytowany przez ‬‬ - ‪Data Mining‬ - ‪Algorithms‬

References - Practical Theories for Exploratory Data Mining (PTDM...

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Practical Theories for Exploratory Data Mining ICDM workshop, Brussels, 10 December

HY: Väitökset | Helsingin yliopisto

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Tutkimuksen ala: tietojenkäsittelytiede. Väitöksen nimi: Mining Sequential Data - in Search of Segmental Structures Vaihtoehtoinen nimi: Sekventiaalisen tiedon louhinta - segmenttirakenteita etsimässä. Väittelijä: FM Niina Haiminen Väittelijän yhteystiedot: p. (09) , .fi

Evaluation of BIC and Cross Validation for model selection on...

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Niina Haiminen, Heikki Mannila International Journal of Data Mining and Bioinformatics, Vol. 4, No. 6 (2010) pp Segmentation is a ...

Determining significance of pairwise co-occurrences of events in...

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... into account the global sequence structure. Results: We extend the existing techniques t... Niina Haiminen, Heikki Mannila, Evimaria Terzi.

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