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ThinkMind // IMMM 2019, The Ninth International Conference on Advances in Information Mining and Management

Type: conference

Download: IMMM 2019 cover page

Download: IMMM 2019 foreword page

Download: IMMM 2019 committee page

Download: IMMM 2019 table of contents

Download: IMMM 2019 full proceedings

Notes: IARIA Conference.

Editors:
Dirk Labudde, University of Applied Sciences Mittweida, Germany

Event editions: - there are 11 editions.

ISSN: 2326-9332

ISBN: 978-1-61208-731-3

Location: Nice, France

Dates: from July 28, 2019 to August 2, 2019

Articles: there are 7 articles

The Effect of Integrated Experiential Marketing on Brand Identification and Customer Intention: A Study on Global Fast Fashion Brands in Taiwan
Shu-Fang Luo, Yi-Chung Cheng, Chih-Chuan Chen, and Hui-Chi Chuang
keywords: Experiential marketing; Internet communication; Brand identification; Customer intention; Fast fashion

Technology Evolution and Technology Forecasting Based on Engineering Big Data
Fuhua Wang, Zuhua Jiang, Hong Zheng, Xiaoming Sun, Haili Wang, and Xinyu Li
keywords: data mining; technology evolution; technological paradigm shift; technology forecasting.

Multiclass Neural Network for Codec Classification
Seungwoo Wee and Jechang Jeong
keywords: Feature extraction; Classification; Bitstream; Multiclass neural network; Recurrent neural network.

A Regression Model of Location Selection for Beverage Chain in Taiwan
Hui-Chi Chuang, Yi-Chung Cheng, and Chih-Chuan Chen
keywords: Location selection; Regression; Beverage Chain; Customer intention

Multimodal Deep Neural Networks for Banking Document Classification
Deniz Engin, Erdem Emekligil, Mehmet Yasin Akpınar, Berke Oral, and Seçil Arslan
keywords: Multimodal Deep Learning; Document Classification

Fake News Detection Method Based on Text-Features
Ahlem Drif, Zineb Ferhat Hamida, and Silvia Giordano
keywords: Fake news detection; social networks; deep learning; convolutional neural network; text classification; words embedding technique.

A Novel Feature Selection Method Based on a Clustering Algorithm
Jonathan A. Mata-Torres, Edgar Tello-Leal, Ulises M. Ramirez-Alcocer, and Gerardo Romero-Galvan
keywords: feature selection; mean shift; clustering; data mining; J48

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