AIS-Clus: A Bio-Inspired Method for Textual Data Stream Clustering

The spread of real-time applications has led to a huge amount of data shared between users. This vast volume of data rapidly evolving over time is referred to as data stream. Clustering and process...

[1]  Alan S. Perelson,et al.  Self-nonself discrimination in a computer , 1994, Proceedings of 1994 IEEE Computer Society Symposium on Research in Security and Privacy.

[2]  John H. Holland,et al.  Adaptation in Natural and Artificial Systems: An Introductory Analysis with Applications to Biology, Control, and Artificial Intelligence , 1992 .

[3]  Charu C. Aggarwal,et al.  Addressing Concept-Evolution in Concept-Drifting Data Streams , 2010, 2010 IEEE International Conference on Data Mining.

[4]  Pavel Berkhin,et al.  A Survey of Clustering Data Mining Techniques , 2006, Grouping Multidimensional Data.

[5]  Charu C. Aggarwal,et al.  Classification and Adaptive Novel Class Detection of Feature-Evolving Data Streams , 2013, IEEE Transactions on Knowledge and Data Engineering.

[6]  V. Rao Vemuri,et al.  An artificial immune system approach to document clustering , 2005, SAC '05.

[7]  Rupa G. Mehta,et al.  A Comprehensive Review and Open Challenges of Stream Big Data , 2018 .

[8]  Geoff Holmes,et al.  MOA: Massive Online Analysis , 2010, J. Mach. Learn. Res..

[9]  Daniel Barbará,et al.  Requirements for clustering data streams , 2002, SKDD.

[10]  Mohamed Medhat Gaber,et al.  Advances in data stream mining , 2012, WIREs Data Mining Knowl. Discov..

[11]  Ying Wah Teh,et al.  On Density-Based Data Streams Clustering Algorithms: A Survey , 2014, Journal of Computer Science and Technology.

[12]  Jianping Zeng,et al.  Text stream clustering algorithm based on adaptive feature selection , 2011, Expert Syst. Appl..

[13]  David A. Clifton,et al.  A review of novelty detection , 2014, Signal Process..

[14]  Philip S. Yu,et al.  A Framework for Clustering Evolving Data Streams , 2003, VLDB.

[15]  Mahsa Salehi,et al.  Fast Memory Efficient Local Outlier Detection in Data Streams (Extended Abstract) , 2016, 2017 IEEE 33rd International Conference on Data Engineering (ICDE).

[16]  Fabio A. González,et al.  TECNO-STREAMS: tracking evolving clusters in noisy data streams with a scalable immune system learning model , 2003, Third IEEE International Conference on Data Mining.

[17]  Li Su,et al.  A New Classification Algorithm for Data Stream , 2011 .

[18]  Li Zhang,et al.  An adaptive ensemble classifier for mining concept drifting data streams , 2013, Expert Syst. Appl..

[19]  Mykola Pechenizkiy,et al.  An Overview of Concept Drift Applications , 2016 .

[20]  André Carlos Ponce de Leon Ferreira de Carvalho,et al.  MINAS: multiclass learning algorithm for novelty detection in data streams , 2016, Data Mining and Knowledge Discovery.

[21]  André Carlos Ponce de Leon Ferreira de Carvalho,et al.  Novelty detection in data streams , 2015, Artificial Intelligence Review.

[22]  Jesús S. Aguilar-Ruiz,et al.  A similarity-based approach for data stream classification , 2014, Expert Syst. Appl..

[23]  João Gama,et al.  A survey on concept drift adaptation , 2014, ACM Comput. Surv..

[24]  Abdelmajid Ben Hamadou,et al.  Handling Concept Drift and Feature Evolution in Textual Data Stream Using the Artificial Immune System , 2018, ICCCI.