Complex Pattern Mining - Studies in Computational Intelligence
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Published By Springer International Publishing

9783030366162, 9783030366179

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

A Latitudinal Study on the Use of Sequential and Concurrency Patterns in Deviance Mining

Complex Pattern Mining - Studies in Computational Intelligence ◽

10.1007/978-3-030-36617-9_7 ◽

2020 ◽

pp. 103-119

Author(s):

Laura Genga ◽

Domenico Potena ◽

Andrea Chiorrini ◽

Claudia Diamantini ◽

Nicola Zannone

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Hierarchical Adversarial Training for Multi-domain Adaptive Sentiment Analysis

Complex Pattern Mining - Studies in Computational Intelligence ◽

10.1007/978-3-030-36617-9_2 ◽

2020 ◽

pp. 17-32

Author(s):

Zhao Xu ◽

Lorenzo von Ritter ◽

Giuseppe Serra

Keyword(s):

Sentiment Analysis ◽

Adversarial Training

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Classification and Clustering of Emotive Microblogs in Albanian: Two User-Oriented Tasks

Complex Pattern Mining - Studies in Computational Intelligence ◽

10.1007/978-3-030-36617-9_10 ◽

2020 ◽

pp. 153-171

Author(s):

Marjana Prifti Skenduli ◽

Marenglen Biba

Keyword(s):

Classification And Clustering

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A Text-Based Regression Approach to Predict Bug-Fix Time

Complex Pattern Mining - Studies in Computational Intelligence ◽

10.1007/978-3-030-36617-9_5 ◽

2020 ◽

pp. 63-83

Author(s):

Pasquale Ardimento ◽

Nicola Boffoli ◽

Costantino Mele

Keyword(s):

Regression Approach

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Applying Analytics to Artist Provided Text to Model Prices of Fine Art

Complex Pattern Mining - Studies in Computational Intelligence ◽

10.1007/978-3-030-36617-9_12 ◽

2020 ◽

pp. 189-211

Author(s):

Laurel Powell ◽

Anna Gelich ◽

Zbigniew W. Ras

Keyword(s):

Fine Art

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Efficient Infrequent Pattern Mining Using Negative Itemset Tree

Complex Pattern Mining - Studies in Computational Intelligence ◽

10.1007/978-3-030-36617-9_1 ◽

2020 ◽

pp. 1-16

Author(s):

Yifeng Lu ◽

Florian Richter ◽

Thomas Seidl

Keyword(s):

Pattern Mining

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Dealing with Class Imbalance in Android Malware Detection by Cascading Clustering and Classification

Complex Pattern Mining - Studies in Computational Intelligence ◽

10.1007/978-3-030-36617-9_11 ◽

2020 ◽

pp. 173-187 ◽

Cited By ~ 2

Author(s):

Giuseppina Andresini ◽

Annalisa Appice ◽

Donato Malerba

Keyword(s):

Malware Detection ◽

Class Imbalance ◽

Android Malware ◽

Android Malware Detection ◽

Clustering And Classification

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Efficient Declarative-Based Process Mining Using an Enhanced Framework

Complex Pattern Mining - Studies in Computational Intelligence ◽

10.1007/978-3-030-36617-9_8 ◽

2020 ◽

pp. 121-136

Author(s):

Stefano Ferilli ◽

Sergio Angelastro

Keyword(s):

Process Mining

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A Named Entity Recognition Approach for Albanian Using Deep Learning

Complex Pattern Mining - Studies in Computational Intelligence ◽

10.1007/978-3-030-36617-9_6 ◽

2020 ◽

pp. 85-101

Author(s):

Evis Trandafili ◽

Elinda Kajo Meçe ◽

Enea Duka

Keyword(s):

Deep Learning ◽

Named Entity Recognition ◽

Entity Recognition ◽

Named Entity

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Order-Preserving Biclustering Based on FCA and Pattern Structures

Complex Pattern Mining - Studies in Computational Intelligence ◽

10.1007/978-3-030-36617-9_4 ◽

2020 ◽

pp. 47-62

Author(s):

Nyoman Juniarta ◽

Miguel Couceiro ◽

Amedeo Napoli

Keyword(s):

Pattern Structures

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Complex Pattern Mining - Studies in Computational IntelligenceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

A Latitudinal Study on the Use of Sequential and Concurrency Patterns in Deviance Mining

Hierarchical Adversarial Training for Multi-domain Adaptive Sentiment Analysis

Classification and Clustering of Emotive Microblogs in Albanian: Two User-Oriented Tasks

A Text-Based Regression Approach to Predict Bug-Fix Time

Applying Analytics to Artist Provided Text to Model Prices of Fine Art

Efficient Infrequent Pattern Mining Using Negative Itemset Tree

Dealing with Class Imbalance in Android Malware Detection by Cascading Clustering and Classification

Efficient Declarative-Based Process Mining Using an Enhanced Framework

A Named Entity Recognition Approach for Albanian Using Deep Learning

Order-Preserving Biclustering Based on FCA and Pattern Structures

Complex Pattern Mining - Studies in Computational Intelligence
Latest Publications