CINXE.COM

TY - STD TI - Abualigah LM, Khader AT, Al-Betar MA, Awadallah MA (2016) A krill herd algorithm for efficient text documents clustering. In: 2016 IEEE Symposium on Computer Applications and Industrial Electronics (ISCAIE). IEEE, pp 67–72 ID - ref1 ER - TY - JOUR AU - Rao, B. AU - Mishra, B. K. PY - 2017 DA - 2017// TI - An approach to clustering of text documents using graph mining techniques JO - International Journal of Rough Sets and Data Analysis (IJRSDA) VL - 4 UR - https://doi.org/10.4018/IJRSDA.2017010103 DO - 10.4018/IJRSDA.2017010103 ID - Rao2017 ER - TY - STD TI - Abualigah LM, Khader AT, Al-Betar MA (2016) Unsupervised Feature Selection Technique Based on Genetic Algorithm for Improving the Text Clustering, pp 1–6 ID - ref3 ER - TY - JOUR AU - Li, C. AU - Lin, M. AU - Yang, L. T. AU - Ding, C. PY - 2014 DA - 2014// TI - Integrating the enriched feature with machine learning algorithms for human movement and fall detection JO - J Supercomput VL - 67 UR - https://doi.org/10.1007/s11227-013-1056-y DO - 10.1007/s11227-013-1056-y ID - Li2014 ER - TY - JOUR AU - Xu, S. AU - Zhang, J. PY - 2004 DA - 2004// TI - A parallel hybrid web document clustering algorithm and its performance study JO - J Supercomput VL - 30 UR - https://doi.org/10.1023/B:SUPE.0000040611.25862.d9 DO - 10.1023/B:SUPE.0000040611.25862.d9 ID - Xu2004 ER - TY - JOUR AU - Bharti, K. K. AU - Singh, P. K. PY - 2015 DA - 2015// TI - Hybrid dimension reduction by integrating feature selection with feature extraction method for text clustering JO - Expert Syst Appl VL - 42 UR - https://doi.org/10.1016/j.eswa.2014.11.038 DO - 10.1016/j.eswa.2014.11.038 ID - Bharti2015 ER - TY - JOUR AU - Bu, F. AU - Chen, Z. AU - Zhang, Q. AU - Yang, L. T. PY - 2016 DA - 2016// TI - Incomplete high-dimensional data imputation algorithm using feature selection and clustering analysis on cloud JO - J Supercomput VL - 72 UR - https://doi.org/10.1007/s11227-015-1433-9 DO - 10.1007/s11227-015-1433-9 ID - Bu2016 ER - TY - JOUR AU - Xu, J. AU - Xu, B. AU - Wang, P. AU - Zheng, S. AU - Tian, G. AU - Zhao, J. PY - 2017 DA - 2017// TI - Self-taught convolutional neural networks for short text clustering JO - Neural Netw VL - 30 ID - Xu2017 ER - TY - JOUR AU - Chandrashekar, G. AU - Sahin, F. PY - 2014 DA - 2014// TI - A survey on feature selection methods JO - Comput Electr Eng VL - 40 UR - https://doi.org/10.1016/j.compeleceng.2013.11.024 DO - 10.1016/j.compeleceng.2013.11.024 ID - Chandrashekar2014 ER - TY - JOUR AU - Lu, Y. AU - Liang, M. AU - Ye, Z. AU - Cao, L. PY - 2015 DA - 2015// TI - Improved particle swarm optimization algorithm and its application in text feature selection JO - Appl Soft Comput VL - 35 UR - https://doi.org/10.1016/j.asoc.2015.07.005 DO - 10.1016/j.asoc.2015.07.005 ID - Lu2015 ER - TY - JOUR AU - Bharti, K. K. AU - Singh, P. K. PY - 2016 DA - 2016// TI - Opposition chaotic fitness mutation based adaptive inertia weight BPSO for feature selection in text clustering JO - Appl Soft Comput VL - 43 UR - https://doi.org/10.1016/j.asoc.2016.01.019 DO - 10.1016/j.asoc.2016.01.019 ID - Bharti2016 ER - TY - JOUR AU - Kabir, M. M. AU - Shahjahan, M. AU - Murase, K. PY - 2012 DA - 2012// TI - A new hybrid ant colony optimization algorithm for feature selection JO - Expert Syst Appl VL - 39 UR - https://doi.org/10.1016/j.eswa.2011.09.073 DO - 10.1016/j.eswa.2011.09.073 ID - Kabir2012 ER - TY - JOUR AU - Ghamisi, P. AU - Benediktsson, J. A. PY - 2015 DA - 2015// TI - Feature selection based on hybridization of genetic algorithm and particle swarm optimization JO - IEEE Geosci Remote Sens Lett VL - 12 UR - https://doi.org/10.1109/LGRS.2014.2337320 DO - 10.1109/LGRS.2014.2337320 ID - Ghamisi2015 ER - TY - STD TI - Abualigah LM, Khader AT, AlBetar MA, Hanandeh ES (2017) Unsupervised Text Feature Selection Technique Based on Particle Swarm Optimization Algorithm for Improving the Text Clustering. EAI ID - ref14 ER - TY - JOUR AU - Shamsinejadbabki, P. AU - Saraee, M. PY - 2012 DA - 2012// TI - A new unsupervised feature selection method for text clustering based on genetic algorithms JO - J Intell Inf Syst VL - 38 UR - https://doi.org/10.1007/s10844-011-0172-5 DO - 10.1007/s10844-011-0172-5 ID - Shamsinejadbabki2012 ER - TY - STD TI - Hong SS, Lee W, Han MM (2015) The feature selection method based on genetic algorithm for efficient of text clustering and text classification. Int J Adv Soft Comput Appl 7(1):22–40 ID - ref16 ER - TY - JOUR AU - Lin, K. C. AU - Zhang, K. Y. AU - Huang, Y. H. AU - Hung, J. C. AU - Yen, N. PY - 2016 DA - 2016// TI - Feature selection based on an improved cat swarm optimization algorithm for big data classification JO - J Supercomput VL - 72 UR - https://doi.org/10.1007/s11227-015-1595-5 DO - 10.1007/s11227-015-1595-5 ID - Lin2016 ER - TY - BOOK AU - Diao, R. PY - 2014 DA - 2014// TI - Feature selection with harmony search and its applications PB - Aberystwyth University CY - Aberystwyth ID - Diao2014 ER - TY - JOUR AU - Abualigah, L. M. Q. AU - Hanandeh, E. S. PY - 2015 DA - 2015// TI - Applying genetic algorithms to information retrieval using vector space model JO - Int J Comput Sci Eng Appl VL - 5 ID - Abualigah2015 ER - TY - JOUR AU - Uğuz, H. PY - 2011 DA - 2011// TI - A two-stage feature selection method for text categorization by using information gain, principal component analysis and genetic algorithm JO - Knowl Based Syst VL - 24 UR - https://doi.org/10.1016/j.knosys.2011.04.014 DO - 10.1016/j.knosys.2011.04.014 ID - Uğuz2011 ER - TY - STD TI - Abualigah LM, Khader AT, Al-Betar MA (2016) Multi-objectives-Based Text Clustering Technique Using K-Mean Algorithm. 2016 July, pp 1–6 ID - ref21 ER - TY - JOUR AU - Bharti, K. K. AU - Singh, P. K. PY - 2014 DA - 2014// TI - A three-stage unsupervised dimension reduction method for text clustering JO - J Comput Sci VL - 5 UR - https://doi.org/10.1016/j.jocs.2013.11.007 DO - 10.1016/j.jocs.2013.11.007 ID - Bharti2014 ER - TY - STD TI - Bharti KK, Singh PK (2013) A two-stage unsupervised dimension reduction method for text clustering. In: Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012) Volume 2. Springer, 2013, pp 529–542 ID - ref23 ER - TY - STD TI - Abualigah LM, Khader AT, Al-Betar MA (2016) Unsupervised Feature Selection Technique Based on Harmony Search Algorithm for Improving the Text Clustering. 2016 July, pp 1–6 ID - ref24 ER - TY - JOUR AU - Liu, Y. AU - Wang, G. AU - Chen, H. AU - Dong, H. AU - Zhu, X. AU - Wang, S. PY - 2011 DA - 2011// TI - An improved particle swarm optimization for feature selection JO - J Bionic Eng VL - 8 UR - https://doi.org/10.1016/S1672-6529(11)60020-6 DO - 10.1016/S1672-6529(11)60020-6 ID - Liu2011 ER - TY - JOUR AU - Nekkaa, M. AU - Boughaci, D. PY - 2015 DA - 2015// TI - Hybrid harmony search combined with stochastic local search for feature selection JO - Neural Process Lett VL - 44 ID - Nekkaa2015 ER - TY - JOUR AU - Bolaji, A. L. AU - Al-Betar, M. A. AU - Awadallah, M. A. AU - Khader, A. T. AU - Abualigah, L. M. PY - 2016 DA - 2016// TI - A comprehensive review: Krill Herd algorithm (KH) and its applications JO - Appl Soft Comput VL - 49 UR - https://doi.org/10.1016/j.asoc.2016.08.041 DO - 10.1016/j.asoc.2016.08.041 ID - Bolaji2016 ER - TY - JOUR AU - Gandomi, A. H. AU - Alavi, A. H. PY - 2012 DA - 2012// TI - Krill herd: a new bio-inspired optimization algorithm JO - Commun Nonlinear Sci Numer Simul VL - 17 UR - https://doi.org/10.1016/j.cnsns.2012.05.010 DO - 10.1016/j.cnsns.2012.05.010 ID - Gandomi2012 ER - TY - JOUR AU - Forsati, R. AU - Mahdavi, M. AU - Shamsfard, M. AU - Meybodi, M. R. PY - 2013 DA - 2013// TI - Efficient stochastic algorithms for document clustering JO - Inf Sci VL - 220 UR - https://doi.org/10.1016/j.ins.2012.07.025 DO - 10.1016/j.ins.2012.07.025 ID - Forsati2013 ER - TY - JOUR AU - Zhao, Z. AU - Wang, L. AU - Liu, H. AU - Ye, J. PY - 2013 DA - 2013// TI - On similarity preserving feature selection JO - IEEE Trans Knowl Data Eng VL - 25 UR - https://doi.org/10.1109/TKDE.2011.222 DO - 10.1109/TKDE.2011.222 ID - Zhao2013 ER - TY - JOUR AU - Nassirtoussi, A. K. AU - Aghabozorgi, S. AU - Wah, T. Y. AU - Ngo, D. C. L. PY - 2015 DA - 2015// TI - Text mining of news-headlines for FOREX market prediction: a multi-layer dimension reduction algorithm with semantics and sentiment JO - Expert Syst Appl VL - 42 UR - https://doi.org/10.1016/j.eswa.2014.08.004 DO - 10.1016/j.eswa.2014.08.004 ID - Nassirtoussi2015 ER -