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Volumn 16, Issue 2, 2012, Pages 305-325

An intelligent data pre-processing of complex datasets

Author keywords

Classification; data mining; feature selection; machine learning; optimisation; particle swarm optimisation

Indexed keywords

AREA UNDER THE CURVES; CLASSIFICATION ACCURACY; CLASSIFICATION TASKS; COMPLEX DATASETS; DATA SETS; INTELLIGENT DATA; INTELLIGENT METHOD; MACHINE-LEARNING; MODELLING TIME; OPTIMISATIONS; PARTICLE SWARM OPTIMISATION; PRE-PROCESSING; PROBLEM DOMAIN; PROTEIN SEQUENCES; SUPPORT VECTOR MACHINE (SVM); WRAPPER APPROACH;

EID: 84858216878     PISSN: 1088467X     EISSN: 15714128     Source Type: Journal    
DOI: 10.3233/IDA-2012-0525     Document Type: Article
Times cited : (18)

References (67)
  • 1
    • 84858227175 scopus 로고    scopus 로고
    • Knowledge discovery and data mining
    • S. Bandyopadhyay, U. Maulik, L.B. Holder and D.J. Cook, eds, USA: Springer
    • S.Bandyopadhyay andU. Maulik, KnowledgeDiscovery andDataMining, in Advanced Method forKnowledgeDiscovery from Complex Data, S. Bandyopadhyay, U. Maulik, L.B. Holder and D.J. Cook, eds, USA: Springer, 2006.
    • (2006) Advanced Method forKnowledgeDiscovery from Complex Data
    • Bandyopadhyay, S.1    Maulik, U.2
  • 2
    • 35748932917 scopus 로고    scopus 로고
    • A review of feature selection techniques in bioinformatics
    • DOI 10.1093/bioinformatics/btm344
    • Y. Saeys, I. Inza and P. Larranaga, A review of feature selection techniques in bioinformatics, Bioinformatics 23 (1 October, 2007), 2507-2517. (Pubitemid 350048351)
    • (2007) Bioinformatics , vol.23 , Issue.19 , pp. 2507-2517
    • Saeys, Y.1    Inza, I.2    Larranaga, P.3
  • 3
    • 0031078007 scopus 로고    scopus 로고
    • Feature selection: Evaluation, application, and small sample performance
    • A. Jain and D. Zongker, Feature selection: Evaluation, application, and small sample performance, IEEE Transactions on Pattern Analysis and Machine Intelligence 19 (1997), 153-158. (Pubitemid 127828334)
    • (1997) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.19 , Issue.2 , pp. 153-158
    • Jain, A.1
  • 4
    • 17044405923 scopus 로고    scopus 로고
    • Toward integrating feature selection algorithms for classification and clustering
    • DOI 10.1109/TKDE.2005.66
    • H. Liu and L. Yu, Toward integrating feature selection algorithms for classification and clustering, IEEE Transactions on Knowledge and Data Engineering 17 (2005), 491-502. (Pubitemid 40495592)
    • (2005) IEEE Transactions on Knowledge and Data Engineering , vol.17 , Issue.4 , pp. 491-502
    • Liu, H.1    Yu, L.2
  • 6
    • 70350658296 scopus 로고    scopus 로고
    • Feature construction and feature selection in presence of attribute interactions
    • Springer Berlin /Heidelberg
    • E. Corchado, X. Wu, E. Oja, Á. Herrero, B. Baruque, L. Shafti and E. Pérez, Feature construction and feature selection in presence of attribute interactions, in Hybrid Artificial Intelligence Systems, vol. 5572: Springer Berlin /Heidelberg, 2009, pp. 589-596.
    • (2009) Hybrid Artificial Intelligence Systems , vol.5572 , pp. 589-596
    • Corchado, E.1    Wu, X.2    Oja, E.3    Herrero, A.4    Baruque, B.5    Shafti, L.6    Pérez, E.7
  • 8
    • 77953517919 scopus 로고    scopus 로고
    • Empirical evaluation of feature selection methods in classification
    • Luka, ehovin and B. Zoran, Empirical evaluation of feature selection methods in classification, Intell Data Anal 14 (2010), 265-281.
    • (2010) Intell Data Anal , vol.14 , pp. 265-281
    • Ehovin, L.1    Zoran, B.2
  • 9
    • 0000599779 scopus 로고
    • Hypothesis-driven constructive induction in AQ17-HCI: A method and experiments
    • J. Wnek and R.S. Michalski, Hypothesis-driven constructive induction in AQ17-HCI: A method and experiments, Machine Learning 14 (1994), 139-168.
    • (1994) Machine Learning , vol.14 , pp. 139-168
    • Wnek, J.1    Michalski, R.S.2
  • 12
    • 77951139898 scopus 로고    scopus 로고
    • A discrete particle swarm optimization method for feature selection in binary classification problems
    • A. Unler and A. Murat, A discrete particle swarm optimization method for feature selection in binary classification problems, European Journal of Operational Research (2010), 528-539.
    • (2010) European Journal of Operational Research , pp. 528-539
    • Unler, A.1    Murat, A.2
  • 14
    • 0036573091 scopus 로고    scopus 로고
    • Optimal power flow using tabu search algorithm
    • DOI 10.1080/15325000252888425
    • M.A.Abido, Optimal power flowusing tabu search algorithm, Electric PowerComponents& Systems 30 (2002), 469-483. (Pubitemid 34566882)
    • (2002) Electric Power Components and Systems , vol.30 , Issue.5 , pp. 469-483
    • Abido, M.A.1
  • 15
    • 33644630561 scopus 로고    scopus 로고
    • FrankSum: New feature selection method for protein function prediction
    • DOI 10.1142/S0129065705000281, PII S0129065705000281
    • A. Al-Shahib, R. Breitling and D. Gilbert, Franksum: New feature selection method for protein function prediction, International Journal Of Neural Systems 15 (2005), 259-275. (Pubitemid 44099494)
    • (2005) International Journal of Neural Systems , vol.15 , Issue.4 , pp. 259-275
    • Al-Shahib, A.1    Breitling, R.2    Gilbert, D.3
  • 17
    • 56749133294 scopus 로고    scopus 로고
    • Feature selection for content-based image retrieval
    • Number 3 /September
    • E. Guldogan and M. Gabbouj, Feature selection for content-based image retrieval, Signal, Image and Video Processing, vol. Volume 2, Number 3 /September, 2008.
    • (2008) Signal, Image and Video Processing, vol. , vol.2
    • Guldogan, E.1    Gabbouj, M.2
  • 19
    • 33845622338 scopus 로고    scopus 로고
    • A novel feature selection algorithm for text categorization
    • DOI 10.1016/j.eswa.2006.04.001, PII S095741740600114X
    • W. Shang, H. Huang, H. Zhu, Y. Lin, Y. Qu and Z. Wang, A novel feature selection algorithm for text categorization, Expert Systems with Applications 33 (2007), 1-5. (Pubitemid 44959912)
    • (2007) Expert Systems with Applications , vol.33 , Issue.1 , pp. 1-5
    • Shang, W.1    Huang, H.2    Zhu, H.3    Lin, Y.4    Qu, Y.5    Wang, Z.6
  • 20
    • 78651579023 scopus 로고    scopus 로고
    • Adaptive feature selection and extraction approaches for image retrieval based on region
    • H. Song, X. Li and P. Wang, Adaptive feature selection and extraction approaches for image retrieval based on region, Journal of Multimedia 5(1) (2010), 85-92.
    • (2010) Journal of Multimedia , vol.5 , Issue.1 , pp. 85-92
    • Song, H.1    Li, X.2    Wang, P.3
  • 21
    • 0033640901 scopus 로고    scopus 로고
    • Comparison of algorithms that select features for pattern classifiers
    • DOI 10.1016/S0031-3203(99)00041-2
    • M. Kudo and J. Sklansky, Comparison of algorithms that select features for pattern recognition, Pattern Recognition Letters 33 (2000), 25-41. (Pubitemid 32081876)
    • (2000) Pattern Recognition , vol.33 , Issue.1 , pp. 25-41
    • Kudo, M.1    Sklansky, J.2
  • 25
    • 25144492516 scopus 로고    scopus 로고
    • Efficient feature selection via analysis of relevance and redundancy
    • L. Yu and H. Liu, Efficient feature selection via analysis of relevance and redundancy, Machine Learning Research 5 (2004), 1205-1224.
    • (2004) Machine Learning Research , vol.5 , pp. 1205-1224
    • Yu, L.1    Liu, H.2
  • 27
    • 51849084418 scopus 로고    scopus 로고
    • The fitness-rough: A new attribute reduction method based on statistical and rough set theory
    • Y.-H. Choo, A.A. Bakar and A.R. Hamdan, The fitness-rough: A new attribute reduction method based on statistical and rough set theory, Intelligent Data Analysis 12 (2008), 73-87.
    • (2008) Intelligent Data Analysis , vol.12 , pp. 73-87
    • Choo, Y.-H.1    Bakar, A.A.2    Hamdan, A.R.3
  • 29
    • 33747344944 scopus 로고    scopus 로고
    • Comparison and evaluation of methods for generating differentially expressed gene lists from microarray data
    • I.B. Jeffery, D.G. Higgins and A.C. Culhane, Comparison and evaluation of methods for generating differentially expressed gene lists from microarray data, BMC Bioinformatics 7 (2006
    • (2006) BMC Bioinformatics , vol.7
    • Jeffery, I.B.1    Higgins, D.G.2    Culhane, A.C.3
  • 30
    • 47249089631 scopus 로고    scopus 로고
    • A Wrapper-Based feature selection method for admet prediction using evolutionary computing
    • A.J. Soto, R.L. Cecchini, G.E. Vazquez and I. Ponzoni, A Wrapper-Based feature selection method for admet prediction using evolutionary computing, in EvoBIO 2008, 2008, pp. 188-199.
    • (2008) EvoBIO , vol.2008 , pp. 188-199
    • Soto, A.J.1    Cecchini, R.L.2    Vazquez, G.E.3    Ponzoni, I.4
  • 34
    • 48749109333 scopus 로고    scopus 로고
    • Particle swarm optimization for parameter determination and feature selection of support vector machines
    • S.-W. Lin, K.-C. Ying, S.-C. Chen and Z.-J. Lee, Particle swarm optimization for parameter determination and feature selection of support vector machines, Expert Systems with Applications 35 (2008), 1817-1824.
    • (2008) Expert Systems with Applications , vol.35 , pp. 1817-1824
    • Lin, S.-W.1    Ying, K.-C.2    Chen, S.-C.3    Lee, Z.-J.4
  • 35
    • 33751002948 scopus 로고    scopus 로고
    • A novel feature selection approach: Combining feature wrappers and filters
    • DOI 10.1016/j.ins.2006.03.022, PII S0020025506000806
    • O. Uncu and I.B. Türksen, A novel feature selection approach: Combining feature wrappers and filters, Information Sciences 177 (2007), 449-466. (Pubitemid 44740289)
    • (2007) Information Sciences , vol.177 , Issue.2 , pp. 449-466
    • Uncu, O.1    Turksen, I.B.2
  • 39
    • 25144492516 scopus 로고    scopus 로고
    • Efficient feature selection via analysis of relevance and redundancy
    • L. Yu and H. Liu, Efficient feature selection via analysis of relevance and redundancy, Journal of Machine Learning Research 5 (2004), 1205-1224.
    • (2004) Journal of Machine Learning Research , vol.5 , pp. 1205-1224
    • Yu, L.1    Liu, H.2
  • 42
    • 70350255984 scopus 로고    scopus 로고
    • Application of particle swarm optimization and proximal support vector machines for fault detection
    • B. Samantha and C. Nataraj, Application of particle swarm optimization and proximal support vector machines for fault detection, Swarm Intelligence, 2009.
    • (2009) Swarm Intelligence
    • Samantha, B.1    Nataraj, C.2
  • 45
    • 45449118697 scopus 로고    scopus 로고
    • Particle swarm optimisation: An overview
    • R. Poli, J. Kennedy and T. Blackwell, Particle Swarm Optimisation: An Overview, Swarm Intelligence 2007 (2007), 33-57.
    • (2007) Swarm Intelligence , vol.2007 , pp. 33-57
    • Poli, R.1    Kennedy, J.2    Blackwell, T.3
  • 46
    • 3142768423 scopus 로고    scopus 로고
    • Self-organizing hierarchical particle swarmoptimizer with time-varying acceleration coefficients
    • A. Ratnaweera, S.K. Halgamuge and H.C.Watson, elf-organizing hierarchical particle swarmoptimizer with time-varying acceleration coefficients, IEEE Transactions on Evolutionary Computation 8 (2004), 240-255.
    • (2004) IEEE Transactions on Evolutionary Computation , vol.8 , pp. 240-255
    • Ratnaweera, A.1    Halgamuge, S.K.2    Watson, H.C.3
  • 48
    • 0036464756 scopus 로고    scopus 로고
    • The particle swarm-explosion, stability, and convergence in a multidimensional complex space
    • DOI 10.1109/4235.985692, PII S1089778X02022099
    • M. Clerc and J. Kennedy, The Particle Swarm-Explosion, Stability, and Convergence in a Multidimensional Complex Space, IEEE Transactions on Evolutionary Computation (2002), 58-73. (Pubitemid 34404564)
    • (2002) IEEE Transactions on Evolutionary Computation , vol.6 , Issue.1 , pp. 58-73
    • Clerc, M.1    Kennedy, J.2
  • 49
    • 0033666935 scopus 로고    scopus 로고
    • Comparing inertia weights and constriction factors in Particle Swarm Optimization
    • New York
    • R.C. Eberhart and Y. Shi, Comparing inertia weights and constriction factors in Particle Swarm Optimization, in In Proceedings of the Congress on Evolutionary Computation, New York, 2000, pp. 84-88.
    • (2000) Proceedings of the Congress on Evolutionary Computation , pp. 84-88
    • Eberhart, R.C.1    Shi, Y.2
  • 52
    • 0000864105 scopus 로고    scopus 로고
    • Global discretization of continuous attributes as preprocessing for machine learning
    • PII S0888613X96000740
    • M.R. Chmielewski and J.W. Grzymala-Busse, Global discretization of continuos attributes as preprocessing for machine learning, International Journal of Approximate Reasoning 15 (1996), 319-331. (Pubitemid 126414909)
    • (1996) International Journal of Approximate Reasoning , vol.15 , Issue.4 SPEC. ISS. , pp. 319-331
    • Chmielewski, M.R.1    Grzymala-Busse, J.W.2
  • 54
    • 69549097716 scopus 로고    scopus 로고
    • Identification of protein functions using a machine-learning approach based on sequence-derived properties
    • B.J. Lee, M.S. Shin, Y.J. Oh, H.S.Oh and K.H. Ryu, Identification of protein functions using a machine-learning approach based on sequence-derived properties, Proteome Science 7 (2009
    • (2009) Proteome Science , vol.7
    • Lee, B.J.1    Shin, M.S.2    Oh, Y.J.3    Oh, H.S.4    Ryu, K.H.5
  • 55
    • 47649109030 scopus 로고    scopus 로고
    • Enzyme function prediction with interpretable models
    • U. Syed and G. Yona, Enzyme function prediction with interpretable models, Computational Systems Biology (2007), 1-33.
    • (2007) Computational Systems Biology , pp. 1-33
    • Syed, U.1    Yona, G.2
  • 63
    • 47649109030 scopus 로고    scopus 로고
    • Enzyme function prediction with interpretable models
    • S. Umar and Y. Golan, Enzyme function prediction with interpretable models, Computational Systems Biology, 2007, pp. 1-33.
    • (2007) Computational Systems Biology , pp. 1-33
    • Umar, S.1    Golan, Y.2
  • 64
    • 34147121960 scopus 로고    scopus 로고
    • Predicting protein function by machine learning on amino acid sequences-A critical evaluation
    • A. Al-Shahib, R. Breitling and D. Gilbert, Predicting protein function by machine learning on amino acid sequences-A critical evaluation, BMC Genomic 8 (2007), 78.
    • (2007) BMC Genomic , vol.8 , pp. 78
    • Al-Shahib, A.1    Breitling, R.2    Gilbert, D.3
  • 65
    • 33747344944 scopus 로고    scopus 로고
    • Comparison and evaluation of methods for generating differentially expressed gene lists from microarray data
    • I.B. Jeffery, D.G. Higgins and A.C. Culhane, Comparison and evaluation of methods for generating differentially expressed gene lists from microarray data, BMC Bioinformatics 7 (2006
    • (2006) BMC Bioinformatics , vol.7
    • Jeffery, I.B.1    Higgins, D.G.2    Culhane, A.C.3
  • 67
    • 29644438050 scopus 로고    scopus 로고
    • Statistical comparisons of classifiers over multiple data sets
    • J. Demsar, Statistical comparisons of classifiers over multiple data sets, Journal of Machine Learning Research (2006), 1-30. (Pubitemid 43022939)
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 1-30
    • Demsar, J.1


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