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PCA as Dimensionality Reduction for Large-Scale Image Retrieval Systems

Mahmoudi, Saïd; Belarbi, Mohammed Amin; Belalem, Ghalem - In: International Journal of Ambient Computing and … 8 (2017) 4, pp. 45-58

Dimensionality reduction in large-scale image research plays an important role for their performance in different applications. In this paper, we explore Principal Component Analysis (PCA) as a dimensionality reduction method. For this purpose, first, the Scale Invariant Feature Transform (SIFT)...

Persistent link: https://www.econbiz.de/10012042664

Classification and Visualization of Alarm Data Based on Heterogeneous Distance

Luo, Guiming; Zhao, Boxu - In: International Journal of Data Warehousing and Mining (IJDWM) 14 (2018) 2, pp. 60-80

Alarm classification and visualization of historical data is significant and sophisticated in the area of smart management in telecom network due to alarm flood and propagation. In this article, we propose a heterogeneous distance to compute the similarity distance matrix of alarms, which is...

Persistent link: https://www.econbiz.de/10012044244

A New Approach for Supervised Dimensionality Reduction

Song, Yinglei; Li, Yongzhong; Qu, Junfeng - In: International Journal of Data Warehousing and Mining (IJDWM) 14 (2018) 4, pp. 20-37

This article develops a new approach for supervised dimensionality reduction. This approach considers both global and local structures of a labelled data set and maximizes a new objective that includes the effects from both of them. The objective can be approximately optimized by solving an...

Persistent link: https://www.econbiz.de/10012044250

Analysis of Feature Selection and Ensemble Classifier Methods for Intrusion Detection

Vinutha, H.P.; Basavaraju, Poornima - In: International Journal of Natural Computing Research (IJNCR) 7 (2018) 1, pp. 57-72

Day by day network security is becoming more challenging task. Intrusion detection systems (IDSs) are one of the methods used to monitor the network activities. Data mining algorithms play a major role in the field of IDS. NSL-KDD'99 dataset is used to study the network traffic pattern which...

Persistent link: https://www.econbiz.de/10012046727

A Novel Approach for Ontology-Based Dimensionality Reduction for Web Text Document Classification

Elhadad, Mohamed K.; Badran, Khaled M.; Salama, Gouda I. - In: International Journal of Software Innovation (IJSI) 5 (2017) 4, pp. 44-58

Dimensionality reduction of feature vector size plays a vital role in enhancing the text processing capabilities; it aims in reducing the size of the feature vector used in the mining tasks (classification, clustering, etc.). This paper proposes an efficient approach to be used in reducing the...

Persistent link: https://www.econbiz.de/10012047801

A Novel Approach for Ontology-Based Feature Vector Generation for Web Text Document Classification

Elhadad, Mohamed K.; Badran, Khaled M.; Salama, Gouda I. - In: International Journal of Software Innovation (IJSI) 6 (2018) 1, pp. 1-10

The task of extracting the used feature vector in mining tasks (classification, clustering …etc.) is considered the most important task for enhancing the text processing capabilities. This paper proposes a novel approach to be used in building the feature vector used in web text document...

Persistent link: https://www.econbiz.de/10012047803

Alternative Models for Forecasting Macroeconomic Indicators in Kazakhstan

Pirmakhanov, Saken - In: International Journal of Applied Management Sciences … 4 (2017) 1, pp. 1-15

This paper indicates special aspects of using vector auto-regression models to forecast rates of basic macroeconomic indicators in short term. In particular, traditional vector auto-regression model, Bayesian vector auto-regression model and factor augmented vector auto-regression model are...

Persistent link: https://www.econbiz.de/10012042985

An Efficient Clustering in MANETs with Minimum Communication and Reclustering Overhead

Mir, Mohd Yaseen; Das, Satyabrata - In: International Journal of Rough Sets and Data Analysis … 4 (2017) 4, pp. 101-114

(clusters). So clustering techniques solve the scalability issue in large MANETs but, requires extra message exchange among …

Persistent link: https://www.econbiz.de/10012047396

Network Politics and the Arab Spring

Bishop, Jonathan; Solo, Ashu M. G. - In: International Journal of Civic Engagement and Social … 3 (2016) 1, pp. 23-27

Network politics is examined in the context of the Arab Spring. Network politics refers to politics and networks. These … networks include the Internet, private networks, cellular networks, telephone networks, radio networks, television networks …, etc. Network politics includes the applications of networks to enable one or more individuals or organizations to engage …

Persistent link: https://www.econbiz.de/10012043576

The Smart City and its Citizens: Governance and Citizen Participation in Amsterdam Smart City

Capra, Carlo Francesco - In: International Journal of E-Planning Research (IJEPR) 5 (2016) 1, pp. 20-38

Smart cities are associated almost exclusively with modern technology and infrastructure. However, smart cities have the possibility to enhance the involvement and contribution of citizens to urban development. This work explores the role of governance as one of the factors influencing the...

Persistent link: https://www.econbiz.de/10012044635