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Data Science for Entrepreneurship: Principles and Methods for Data Engineering, Analytics, Entrepreneurship, and the Society

1, 2023

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Machine Learning and Data Mining in Pattern Recognition: First International Workshop, MLDM'99, Leipzig, Germany, September 16-18, 1999, Proceedings

1, 1999

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Truly Unordered Probabilistic Rule Sets for Multi-class Classification

Machine Learning and Knowledge Discovery in Databases, 2023, p.87-103

2023

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Advances in Data Mining: Applications in E-Commerce, Medicine, and Knowledge Management

Perner, Petra

1, 2002

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Data Mining on Multimedia Data

Lecture notes in computer science, 2002, Vol.2558, p.x-x

Perner, Petra

1, 2002

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Data Analytics in Action

Data Science for Entrepreneurship, 2023, p.205-233

2023

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Molecular Diagnostics of Bacterial Pathogens

Molecular Diagnostics, 2017, p.1-20

2017

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DNA Sequencing, Eulerian Graphs, and the Exact Perfect Matching Problem

Graph-Theoretic Concepts in Computer Science, 2002, Vol.2573, p.13-24

2002

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Generalised Fuzzy Aggregation Operators

Lecture notes in computer science, 1999, Vol.1715, p.195-207

1999

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Planar Polyline Drawings with Good Angular Resolution

Graph Drawing, 1999, Vol.1547, p.167-182

1999

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An Architecture for a CBR Image Segmentation System

Case-Based Reasoning Research and Development, 1999, Vol.1650, p.525-534

1999

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Level Planarity Testing in Linear Time

Graph Drawing, 1999, Vol.1547, p.224-237

1999

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The Constrained Crossing Minimization Problem

Graph Drawing, 1999, Vol.1731, p.175-185

1999

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A Comparison between Neural Networks and Decision Trees

Lecture notes in computer science, 1999, Vol.1715, p.144-158

1999

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Two-Layer Planarization in Graph Drawing

Algorithms and Computation, 1998, Vol.1533, p.72-79

1998

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Extraction of Local Structural Features in Images by Using a Multi-scale Relevance Function

Lecture notes in computer science, 1999, Vol.1715, p.87-102

1999

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Applications of Cellular Neural Networks for Shape from Shading Problem

Lecture notes in computer science, 1999, Vol.1715, p.51-63

1999

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Automatic Design of Multiple Classifier Systems by Unsupervised Learning

Lecture notes in computer science, 1999, Vol.1715, p.131-143

1999

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Non-Hierarchical Clustering with Rival Penalized Competitive Learning for Information Retrieval

Lecture notes in computer science, 1999, Vol.1715, p.116-127

1999

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Learning in Pattern Recognition

Lecture notes in computer science, 1999, Vol.1715, p.1-12

1999

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Unsupervised Learning of Local Mean Gray Values for Image Pre-processing

Lecture notes in computer science, 1999, Vol.1715, p.64-74

1999

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Neural Networks in MR Image Estimation from Sparsely Sampled Scans

Lecture notes in computer science, 1999, Vol.1715, p.75-86

1999

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Multi-valued and Universal Binary Neurons: Learning Algorithms, Application to Image Processing and Recognition

Machine Learning and Data Mining in Pattern Recognition, 1999, Vol.1715, p.21-35

1999

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Symbolic Learning Techniques in Paper Document Processing

Lecture notes in computer science, 1999, Vol.1715, p.159-173

1999

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Advances in Predictive Data Mining Methods

Lecture notes in computer science, 1999, Vol.1715, p.13-20

1999

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Data Science for Entrepreneurship: Principles and Methods for Data Engineering, Analytics, Entrepreneurship, and the Society

Machine Learning and Data Mining in Pattern Recognition: First International Workshop, MLDM'99, Leipzig, Germany, September 16-18, 1999, Proceedings

Truly Unordered Probabilistic Rule Sets for Multi-class Classification

Advances in Data Mining: Applications in E-Commerce, Medicine, and Knowledge Management

Data Mining on Multimedia Data

Data Analytics in Action

Molecular Diagnostics of Bacterial Pathogens

DNA Sequencing, Eulerian Graphs, and the Exact Perfect Matching Problem

Generalised Fuzzy Aggregation Operators

Planar Polyline Drawings with Good Angular Resolution

An Architecture for a CBR Image Segmentation System

Level Planarity Testing in Linear Time

The Constrained Crossing Minimization Problem

A Comparison between Neural Networks and Decision Trees

Two-Layer Planarization in Graph Drawing

Extraction of Local Structural Features in Images by Using a Multi-scale Relevance Function

Applications of Cellular Neural Networks for Shape from Shading Problem

Automatic Design of Multiple Classifier Systems by Unsupervised Learning

Non-Hierarchical Clustering with Rival Penalized Competitive Learning for Information Retrieval

Learning in Pattern Recognition

Unsupervised Learning of Local Mean Gray Values for Image Pre-processing

Neural Networks in MR Image Estimation from Sparsely Sampled Scans

Multi-valued and Universal Binary Neurons: Learning Algorithms, Application to Image Processing and Recognition

Symbolic Learning Techniques in Paper Document Processing

Advances in Predictive Data Mining Methods

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