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Home > Advances in Data Mining. Applications and Theoretical Aspects: 18th Industrial Conference, ICDM 2018, New York, NY, USA, July 11-12, 2018, Proceedings > A Decision Rule Based Approach to Generational Feature Selection
Advances in Data Mining. Applications and Theoretical Aspects: 18th Industrial Conference, ICDM 2018, New York, NY, USA, July 11-12, 2018, Proceedings |
Petra Perner
Springer International Publishing
Advances in Data Mining. Applications and Theoretical Aspects: 18th Industrial Conference, ICDM 2018, New York, NY, USA, July 11-12, 2018, Proceedings
A Decision Rule Based Approach to Generational Feature Selection
Authors

Wiesław Paja

ARI Id

1665128837333_4955034

Access

Not Available Free

Pages

230-239

DOI

10.1007/978-3-319-95786-9_17

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-319-95786-9_17

Table of Contents of Book
Showing 1 to 20 of 26 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
I-X
An Adaptive Oversampling Technique for Imbalanced Datasets
Shaukat Ali Shahee; Usha Ananthakumar
1-16
From Measurements to Knowledge - Online Quality Monitoring and Smart Manufacturing
Satu Tamminen; Henna Tiensuu; Eija Ferreira; Heli Helaakoski; Vesa Kyllönen; Juha Jokisaari et al.
17-28
Mining Sequential Correlation with a New Measure
Mohammad Fahim Arefin; Maliha Tashfia Islam; Chowdhury Farhan Ahmed
29-43
A New Approach for Mining Representative Patterns
Abeda Sultana; Hosneara Ahmed; Chowdhury Farhan Ahmed
44-58
An Effective Ensemble Method for Multi-class Classification and Regression for Imbalanced Data
Tahira Alam; Chowdhury Farhan Ahmed; Sabit Anwar Zahin; Muhammad Asif Hossain Khan; Maliha Tashfia Islam
59-74
Automating the Extraction of Essential Genes from Literature
Ruben Rodrigues; Hugo Costa; Miguel Rocha
75-87
Rise, Fall, and Implications of the New York City Medallion Market
Sherraina Song
88-103
An Intelligent and Hybrid Weighted Fuzzy Time Series Model Based on Empirical Mode Decomposition for Financial Markets Forecasting
Ruixin Yang; Junyi He; Mingyang Xu; Haoqi Ni; Paul Jones; Nagiza Samatova
104-118
Evolutionary DBN for the Customers’ Sentiment Classification with Incremental Rules
Ping Yang; Dan Wang; Xiao-Lin Du; Meng Wang
119-134
Clustering Professional Baseball Players with SOM and Deciding Team Reinforcement Strategy with AHP
Kazuhiro Kohara; Shota Enomoto
135-147
Data Mining with Digital Fingerprinting - Challenges, Chances, and Novel Application Domains
Matthias Vodel; Marc Ritter
148-161
Categorization of Patient Diseases for Chinese Electronic Health Record Analysis: A Case Study
Junmei Zhong; Xiu Yi; De Xuan; Ying Xie
162-172
Dynamic Classifier and Sensor Using Small Memory Buffers
R. Gelbard; A. Khalemsky
173-182
Speeding Up Continuous kNN Join by Binary Sketches
Filip Nalepa; Michal Batko; Pavel Zezula
183-198
Mining Cross-Level Closed Sequential Patterns
Rutba Aman; Chowdhury Farhan Ahmed
199-214
An Efficient Approach for Mining Weighted Sequential Patterns in Dynamic Databases
Sabrina Zaman Ishita; Faria Noor; Chowdhury Farhan Ahmed
215-229
A Decision Rule Based Approach to Generational Feature Selection
Wiesław Paja
230-239
A Partial Demand Fulfilling Capacity Constrained Clustering Algorithm to Static Bike Rebalancing Problem
Yi Tang; Bi-Ru Dai
240-253
Detection of IP Gangs: Strategically Organized Bots
Tianyue Zhao; Xiaofeng Qiu
254-265
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 26 entries
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