Wasito Ito

INSTITUTIONAL INFORMATION

Contact

Education Information

• 1994 - 1996 MSc in Computational Mathematics

  Queen Mary College, London, United Kingdom

• 1999 - 2003 PhD in Computer Science

  Birkbeck College, University of London, London, United Kingdom

Dissertation

• 1999 - 2003 Least Squares Imputation with Nearest Neighbour Techniques for Imputing Missing Values

  The subject of imputation of missing data entries has attracted considerable efforts in such areas as editing of survey data, maintenance of medical documentation and modeling of DNA microarray data. There are several popular approaches to this of which we concentrate on the least squares approach extending the singular value decomposition (SVD) of matrices. We consider two generic least squares imputation algorithms: (a) ILS, which interpolates missing values by using only the non-missing entries for an SVD-type approximation and (b) IMLS, which recursively applies SVD to the data completed initially with ad-hoc values (zero, in our case). We propose nearest neighbour versions of these algorithms, N-ILS and N-IMLS, as well as a combined algorithm INI that applies the nearest neighbour approach to the data initially completed with IMLS. Altogether, a set of ten least squares imputation algorithms including the method of imputing mean values as the bottom-line are considered. An experimental study of these algorithms has been performed on artificial data generated according to Gaussian mixture data models. The data have been combined with four different mechanisms for generating missing entries: (1) Complete random pattern; (2) Inherited random pattern; (3) Sensitive issue pattern and (4)Merged databases pattern. The mechanisms (2), (3) and (4) have been introduced in this study. Since data and missings are generated independently, the performance of an algorithm is evaluated based on the difference of the imputed values and those originally generated. The major result of these experiments is that the nearest neighbour versions of the least squares algorithms almost always surpass the global least squares algorithms; both the mean and nearest neighbour mean imputation are always worse. In the case of the most popular Complete random missing pattern, our global-local algorithm INI appears to outperform the other algorithms. We also considered two different data models: (1) Rank one and (2) Sampling from a real-world data base. At the latter, INI results are comparable to and, at greater proportions of missings, surpass results of EM (expectation-maximization)and MI (multiple imputation) algorithms based on another popular approach, the maximum likelihood

• Machine learning: clustering and classification algorithms.

• Data Analysis/Science: Data Imputation and Data Integration

• Medical Informatics and Computational Genomics

• Subtype cancer identification based on gene expression ontology model using text mining technique.

• Data Integration approach for the development of drug interaction classification.

• Consensus Clustering for Subtype Cancer Identification using Gene Expressions Data validated on Patient Clinical Information

• Development Of Sleep-Awakening Timing Controller For Occupational Safety And Health Based-On Computational Intelligent Algorithm.

• The Analysis of Dimensionality Reduction in Kernel Density Estimation for Microarray DNA Clustering.

• Iterative Nearest Neighbour based Clustering for Crime Pattern Identification.

• Nearest Neighbour Approach in the Least Squares Data Imputation
  Articles published in International Journals

  https://www.sciencedirect.com/science/article/abs/pii/S0020025504000416

• Nearest neighbours in least-squares data imputation algorithms with different missing patterns
  Articles published in International Journals

  https://www.sciencedirect.com/science/article/pii/S0167947304003706

• Selecting features of single lead ECG signal for automatic sleep stages classification using correlation-based feature subset selection
  Articles published in International Journals

  http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.402.6760&rep=rep1&type=pdf#page=161

• Kernel dimensionality reduction on sleep stage classification using ECG signal
  Articles published in International Journals

  http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.402.6003&rep=rep1&type=pdf#page=139

• Iterative local Gaussian clustering for expressed genes identification linked to malignancy of human colorectal carcinoma
  Articles published in International Journals

  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2241931/

• Text Preprocessing using Annotated Suffix Tree with Matching Keyphrase
  Articles published in International Journals

  https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.1010.821&rep=rep1&type=pdf

• Robust consensus clustering for identification of expressed genes linked to malignancy of human colorectal carcinoma
  Articles published in International Journals

  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3124694/

• NONRETINOTOPIC PARTICLE FILTER FOR VISUAL TRACKING
  Articles published in International Journals

  http://www.jatit.org/volumes/Vol63No1/12Vol63No1.pdf

• Evaluation of data integration strategies based on kernel method of clinical and microarray data
  Articles published in International Journals

  https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3283887/

• Text interpretation using a modified process of the ontology and sparse clustering
  Articles published in International Journals

  http://www.jatit.org/volumes/Vol95No5/5Vol95No5.pdf

• A novel rule based approach for entity relations extraction
  Articles published in International Journals

  https://www.academia.edu/12058605/A_NOVEL_RULE_BASED_APPROACH_FOR_ENTITY_RELATIONS_EXTRACTION

• Subtype of cancer identification for patient survival prediction using semi supervised method
  Articles published in International Journals

  https://www.semanticscholar.org/paper/Subtype-of-Cancer-Identification-for-Patient-Using-Wasito-Veritawati/22ba3d5419422a7773cb17dceb16ef13471323cf

• Evaluating the performance of deep supervised auto encoder in single sample face recognition problem using Kullback-Leibler Divergence sparsity regularizer
  Articles published in International Journals

  http://www.jatit.org/volumes/Vol87No2/10Vol87No2.pdf

• Prediction of breast cancer recurrence using modified kernel based data integration model
  Articles published in International Journals

  http://www.jatit.org/volumes/Vol96No16/23Vol96No16.pdf

• Design Model of Deep Stacking Network for Breast Cancer Prediction Using Microarray
  Articles published in International Journals

  https://www.ingentaconnect.com/contentone/asp/asl/2018/00000024/00000008/art00124

• Prognosis cancer prediction model using deep belief network approach
  Articles published in International Journals

  http://www.jatit.org/volumes/Vol95No20/7Vol95No20.pdf

• Nearest Neighbour in Least Squares Data Imputation Algorithms for Marketing Data
  Books & Book Chapters

  https://link.springer.com/chapter/10.1007/978-1-4939-0742-7_19

• DNA-CHIPS DATA PROCESSING AND ANALYSIS
  Books & Book Chapters

  http://eprints.utm.my/id/eprint/19336/

• Imputing incomplete software metric database using iterative nearest neighbour based algorithm
  Articles published in Local Journals

  http://eprints.utm.my/id/eprint/10693/

• Prediction of Breast Cancer Recurrent Using Modified Kernel Based Data Integration Model
  Articles published in International Journals

  http://www.jatit.org/volumes/Vol96No16/23Vol96No16.pdf

• Automatic Ontology Construction Using Text Corpora and Ontology Design Patterns (ODPs) in Alzheimer’s Disease
  Articles published in Local Journals

  http://jiki.cs.ui.ac.id/index.php/jiki/article/view/374

• Iterative Scaling Fuzzy Additive Spectral Clustering (is-FADDIS) Algorithm for Subtypes Cancer Identification using Gene Expression Data
  Refereed congress / Symposium Publications in Proceedings

  https://dl.acm.org/doi/abs/10.1145/3180382.3180400

• Vector machine OVA-RFE approach for finding the significant plants of jamu
  Articles published in International Journals

  http://www.wcse.org/content-15-688-1.html

• Convolutional neural network (cnn) for gland images classification
  Refereed congress / Symposium Publications in Proceedings

  https://ieeexplore.ieee.org/abstract/document/8265646

• Structural MRI classification for Alzheimer's disease detection using deep belief network
  Refereed congress / Symposium Publications in Proceedings

  https://ieeexplore.ieee.org/abstract/document/8265643

• Automatic nucleus detection of pap smear images using stacked sparse autoencoder (ssae)
  Refereed congress / Symposium Publications in Proceedings

  https://dl.acm.org/doi/abs/10.1145/3127942.3127946

• Deep belief networks for ligand-based virtual screening of drug design
  Refereed congress / Symposium Publications in Proceedings

  http://www.wcse.org/content-15-689-1.html

• Cancer subtype identification using deep learning approach
  Articles published in International Journals

  https://ieeexplore.ieee.org/abstract/document/7863033

• Restricted Boltzmann machines for unsupervised feature selection with partial least square feature extractor for microarray datasets
  Articles published in International Journals

  https://ieeexplore.ieee.org/abstract/document/8355043

• Multi feature fusion using deep belief network for automatic pap-smear cell image classification
  Articles published in International Journals

  https://ieeexplore.ieee.org/abstract/document/8251733

Supported Projects

• 2016 - 2018 Subtype cancer identification based on gene expression ontology model using text mining technique

  The Competency Based Research Grant, Ministry of Research and Higher Education of Indonesia

• 2014 - 2015 Data Integration approach for the development of drug interaction classification

  The Priority Scheme Research Grant, University of Indonesia

• 2011 - 2013 The Development of Integration Data model for Subtype Cancer Identification

  Competence Research Grant, Higher Education Directorate, Ministry of Education and Culture of Indonesia

• 2010 - 2011 Consensus Clustering for Subtype Cancer Identification using Gene Expressions Data validated on Patient Clinical Information.

  The Competitive Research Grant, University of Indonesia

• 2010 - 2011 Development Of Sleep-Awakening Timing Controller For Occupational Safety And Health Based-On Computational Intelligent Algorithm

  The of Competence Research Grant, University of Indonesia

• 2008 - 2010 The Analysis of Dimensionality Reduction in Kernel Density Estimation for Microarray DNA Clustering

  Fundamental Research Grant Scheme (FRGS), Ministry of Higher Education of Malaysia.

• 2008 - 2010 Iterative Nearest Neighbour based Clustering for Crime Pattern Identification

  E-Science Research Program, Ministry of Science and Technology of Malaysia.

Grant proposals

Activities in Scientific Journals

• 2011 Reviewer

  Advances in Data Analysis and Classification, Springer

• 2012 Reviewer

  Data Mining and Knowledge Discovery, Springer

• 2009 Reviewer

  Information Sciences, Elsevier

• 2010 Reviewer

  Mathematics and Computers in Simulation, Elsevier.

• 2014 Reviewer

  The Journal of Universal Computer Science

• 2009 Reviewer

  Pertanika, UPM Publisher

Scientific Consultation

• 2017 PhD Thesis Exam Panel

  Faculty of Science, Monash University Malaysia

Invited Congress & Symposium Activities

• 2012 Invited Speaker

  International Workshop on Clusters, Orders and Trees: Methods and Applications, Higher School of Economics, Moscow, Russia

• 2015 Invited Speaker

  Tri-lateral ( Indonesia-Thailand-France) Scientific Meeting on Climate Change, Big Data Management and Health, Bogor, Indonesia

• 2017 Invited Speaker

  International Workshop on Bioinformatics, Universitas YARSI, Jakarta, Indonesia

• 2010 Invited Speaker

  Faculty of Information Technology, Monash University Sunway Campus, Kuala Lumpur, Malaysia

• 2011 Chairman

  International Conference on Advanced Computer Science and Information Systems, Bali, Indonesia

Citations

• 2021 Nearest Neighbour Approach in the Least Squares Data Imputation. Information Sciences, Vol. 169, pp 1-25, Elsevier.

  The paper has about 91 citations