Novel Parameter-Free and Parametric Same Degree Distribution-based Dimensionality Reduction Algorithms for Trustworthy Data Structure Preserving

Journal article


Hajderanj, L., Chen, D. and Dudley-Mcevoy, S. (2023). Novel Parameter-Free and Parametric Same Degree Distribution-based Dimensionality Reduction Algorithms for Trustworthy Data Structure Preserving. Information Sciences. 661, p. 120030. https://doi.org/10.1016/j.ins.2023.120030
AuthorsHajderanj, L., Chen, D. and Dudley-Mcevoy, S.
Abstract

As an effective dimensionality reduction method, Same Degree Distribution (SDD) has been demonstrated to be able to maintain better data structure than other dimensionality reduction methods. Hence, tuning the degree of degree-distribution makes SDD a less costly method than other methods that require tuning the number of neighbours or perplexity. Although these advantages, SDD is still an expensive method compared with parameter-free methods such as PCA and MDS. A parameter-free SDD is proposed based on standard SDD, but it has two main differences: 1) it does not require tuning the degree of degree-distribution in the entire range from 1 to 15, but only uses degree 1; and 2) it re-scales the pairwise distances in the range [0, 2] instead of range [0, 1]. A theoretical analysis is presented to prove the better performance of parameter-free SDD. This paper also proposes a parametric version of SDD using a deep neural network approach to learn the mapping based on the samples of the original data and their corresponding embedded representations in a low dimensional space. Comparative experiments have been undertaken with SDD and other methods to demonstrate the effectiveness of the parametric SDD.

Keywordshigh dimensional data; dimensionality reduction techniques; structure capturing; computational time
Year2023
JournalInformation Sciences
Journal citation661, p. 120030
PublisherElsevier
ISSN 0020-0255
Digital Object Identifier (DOI)https://doi.org/10.1016/j.ins.2023.120030
Publication dates
Print22 Dec 2023
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Accepted20 Dec 2023
Deposited21 Dec 2023
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Open
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An Experimentally Validated Smart Card UHF Tag Antenna ForFree Space and Near Body Scenarios
Riaz, M., Ghavami, M. and Dudley-McEvoy, S. (2020). An Experimentally Validated Smart Card UHF Tag Antenna ForFree Space and Near Body Scenarios. IET Microwaves, Antennas and Propagation. 14 (13), pp. 1599-1609. https://doi.org/10.1049/iet-map.2019.0603
A Non-Invasive Bone Fracture Monitoring Analysis using an UHF Antenna
Riaz, M, Tiberi, G, Asani, H, Ghavami, M and Dudley-McEvoy, S (2020). A Non-Invasive Bone Fracture Monitoring Analysis using an UHF Antenna. IEEE/IET International Symposium on Communication Systems, Networks and Digital Signal Processing. Porto 20 - 22 Jul 2020 Institute of Electrical and Electronics Engineers (IEEE).
A Case Study Based Approach for Remote Fault Detection Using Multi-Level Machine Learning in A Smart Building
Dey, M, Rana, SP and Dudley, S (2020). A Case Study Based Approach for Remote Fault Detection Using Multi-Level Machine Learning in A Smart Building. Smart Cities. 3 (2), pp. 401-419. https://doi.org/10.3390/smartcities3020021
An Adaptive Task Scheduling Method for Networked UAV Combat Cloud System Based on Virtual Machine and Task Migration
Li, B., Liang, S., Tian, L., Chen, D. and Zhang, M. (2020). An Adaptive Task Scheduling Method for Networked UAV Combat Cloud System Based on Virtual Machine and Task Migration. Mathematical Problems in Engineering. p. 5391479. https://doi.org/10.1155/2020/5391479
An adaptive dwell time scheduling model for phased array radar based on three-way decision
Li, B., Tian, L., Chen, D. and Liang, S. (2020). An adaptive dwell time scheduling model for phased array radar based on three-way decision. Journal of Systems Engineering and Electronics. pp. 500-509. https://doi.org/10.23919/JSEE.2020.000030
Intelligent Aircraft Maneuvering Decision Based on CNN
Li, B., Liang, S., Tian, L. and Chen, D. (2019). Intelligent Aircraft Maneuvering Decision Based on CNN. Proceedings of the 3rd International Conference on Computer Science and Application Engineering. (138). https://doi.org/10.1145/3331453.3362046
Intelligent Attitude Control of Aircraft Based on LSTM
Li, B, Gao, P, Li, X and Chen, D (2019). Intelligent Attitude Control of Aircraft Based on LSTM. 3rd International Conference on Artificial Intelligence Applications and Technologies. Beijing, China 01 - 03 Aug 2019 IOP Publishing. https://doi.org/10.1088/1757-899X/646/1/012013
A Task Scheduling Algorithm for Phased Array Radar Based on Dynamic Three-way Decision
Li, B., Tian, L., Chen, D. and Han, Y. (2019). A Task Scheduling Algorithm for Phased Array Radar Based on Dynamic Three-way Decision. Sensors. 20 (1). https://doi.org/10.3390/s20010153
Intelligent Flight Control of Combat Aircraft Based on Autoencoder
Li, B., Gao, P., Liang, S. and Chen, D. (2019). Intelligent Flight Control of Combat Aircraft Based on Autoencoder. 2019 The 4th International Conference on Robotics, Control and Automation. GuangZhou 26 - 28 Jul 2019 https://doi.org/10.1145/3351180.3351210
Skin Capacitive Imaging Analysis Using Deep Learning GoogLeNet
Zhang, X., Pan, W., Bontozoglou, C., Chirikhina, E., Chen, D. and Xiao, P. (2019). Skin Capacitive Imaging Analysis Using Deep Learning GoogLeNet. Computing Conference 2020. London, UK 16 - 17 Jul 2019 Springer.
FRS: A Simple Knowledge Graph Embedding Model for Entity Prediction
Wang, L.F., Lu, X., Jiang, Z., Zhang, Z., Li, R., Zhao, M. and Chen, D. (2019). FRS: A Simple Knowledge Graph Embedding Model for Entity Prediction. Mathematical Biosciences and Engineering. 16 (6), pp. 7789-7807. https://doi.org/10.3934/mbe.2019391
Predicting Customer Profitability Dynamically over Time: An Experimental Comparative Study
Chen, D., Guo, K. and Li, B. (2019). Predicting Customer Profitability Dynamically over Time: An Experimental Comparative Study. 24th Iberoamerican Congress on Pattern Recognition (CIARP 2019). Havana, Cuba 28 - 31 Oct 2019 https://doi.org/10.1007/978-3-030-33904-3_16
Signature Inspired Home Environments Monitoring System Using IR-UWB Technology
Rana, S., Dey, M., Ghavami, M. and Dudley-Mcevoy, S. (2019). Signature Inspired Home Environments Monitoring System Using IR-UWB Technology. Sensors. 19 (2), p. 385. https://doi.org/10.3390/s19020385
Learning Bayesian Networks using the Constrained Maximum a Posteriori Probability Method
Yang, Y, Gao, X, Guo, Z and Chen, D (2019). Learning Bayesian Networks using the Constrained Maximum a Posteriori Probability Method. Pattern Recognition. 91, pp. 123-134. https://doi.org/10.1016/j.patcog.2019.02.006
Learning Bayesian network parameters via minimax algorithm
Gao, X, Gao, G, Ren, H, Chen, D and He, C (2019). Learning Bayesian network parameters via minimax algorithm. International Journal of Approximate Reasoning. 108, pp. 62-75. https://doi.org/10.1016/j.ijar.2019.03.001
Improving Prediction Accuracy of Breast Cancer Survivability and Diabetes Diagnosis via RBF Networks trained with EKF models
Adegoke, V, Chen, D and Banissi, E (2019). Improving Prediction Accuracy of Breast Cancer Survivability and Diabetes Diagnosis via RBF Networks trained with EKF models. International Journal of Computer Information Systems and Industrial Management. 11, pp. 82-100.
A New Supervised t-SNE with Dissimilarity Measure for Effective Data Visualization and Classification
Hajderanj, L, Weheliye, I and Chen, D (2019). A New Supervised t-SNE with Dissimilarity Measure for Effective Data Visualization and Classification. 2019 8th International Conference on Software and Information Engineering. Cairo 09 - 12 Apr 2019
Recurrent Neural Networks for Decoding Lip Read Speech
Fenghour, S, Chen, D and Xiao, P (2019). Recurrent Neural Networks for Decoding Lip Read Speech. 2019 8th International Conference on Software and Information Engineering (ICSIE 2019). Cairo 09 - 12 Apr 2019
Decoder-Encoder LSTM for Lip Reading
Fenghour, S., Chen, D. and Xiao, P. (2019). Decoder-Encoder LSTM for Lip Reading. Proceedings of the 2019 8th International Conference on Software and Information Engineering. https://doi.org/10.1145/3328833.3328845
Enhancing Ensemble Prediction Accuracy of Breast Cancer Survivability and Diabetes Diagnostic using optimized EKF-RBFN trained prototypes, The 10th International Conference on Soft Computing and Pattern Recognition
Adegoke, V, Chen, D, Banissi, E and Barikzai, S (2019). Enhancing Ensemble Prediction Accuracy of Breast Cancer Survivability and Diabetes Diagnostic using optimized EKF-RBFN trained prototypes, The 10th International Conference on Soft Computing and Pattern Recognition. The 10th International Conference on Soft Computing and Pattern Recognition. Porto, Portugal 13 - 15 Dec 2018
Distributed deep networks based on Bagging-Down SGD algorithm
Qin, C, Gao, X and Chen, D (2019). Distributed deep networks based on Bagging-Down SGD algorithm. Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics. 41 (5), pp. 1021-1027. https://doi.org/10.3969/j.issn.1001-506X.2019.05.13
Phase-weighted UWB Imaging through Huygens Principle
Tiberi, G, Khalesi, B, Sohani, B, Ghavami, N, Dudley, S and Ghavami, M (2019). Phase-weighted UWB Imaging through Huygens Principle. PhotonIcs & Electromagnetics Research Symposium. Rome, Italy 17 - 20 Jun 2019
Microwave imaging for stroke detection: validation on head-mimicking phantom
Sohani, B, Tiberi, G, Ghavami, N, Ghavami, M, Dudley, S and Rahimi, A (2019). Microwave imaging for stroke detection: validation on head-mimicking phantom. PIERS (hotonIcs & Electromagnetics Research Symposium). Rome, Italy 17 - 20 Jun 2019
Non-Contact Human Gait Identification through IR-UWB Edge Based Monitoring Sensor
Rana, S., Dey, M, Ghavami, M and Dudley-McEvoy, S (2019). Non-Contact Human Gait Identification through IR-UWB Edge Based Monitoring Sensor. IEEE Sensors Journal. https://doi.org/10.1109/JSEN.2019.2926238
Machine Learning Approaches for Automated Lesion Detection in Microwave Breast Imaging Clinical Data
Rana, S., Dey, M., Tiberi, G., Sani, L., Vispa, A., Raspa, G., Duranti, M., Ghavami, M. and Dudley-Mcevoy, S. (2019). Machine Learning Approaches for Automated Lesion Detection in Microwave Breast Imaging Clinical Data. Scientific Reports. 9, p. 10510. https://doi.org/10.1038/s41598-019-46974-3
Towards automated cost analysis, benchmarking and estimating in construction: a machine learning approach
Chen, D, Hajderanj, L and Fiske, J (2019). Towards automated cost analysis, benchmarking and estimating in construction: a machine learning approach. 13th Multi Conference on Computer Science and Information Systems (MCCSIS). Porto, Portugal 16 - 18 Jul 2019
ITERATOR: A 3D Gait Identification from IR-UWB Technology
Rana, S., Dey, M, Ghavami, M and Dudley, S (2019). ITERATOR: A 3D Gait Identification from IR-UWB Technology. International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (EMBC 2019). Berlin, Germany 23 - 27 Jul 2019
Design of a voice control 6DoF grasping robotic arm based on ultrasonic sensor, computer vision and Alexa voice assistance
Wang, Z, Chen, D and Xiao, P (2019). Design of a voice control 6DoF grasping robotic arm based on ultrasonic sensor, computer vision and Alexa voice assistance. International Conference on Information Technology in Medicine and Education. Qingdao, China 23 - 25 Aug 2019 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ITME.2019.00150
A Novel Design of UHF RFID Passive Tag Antenna Targeting Smart Cards Limited Area
Riaz, M, Rymar, G, Ghavami, M and Dudley, S (2018). A Novel Design of UHF RFID Passive Tag Antenna Targeting Smart Cards Limited Area. 36th IEEE International Conference on Consumer Electronics (ICCE). Las Vegas, USA 12 - 14 Jan 2018 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICCE.2018.8326224
Smart Building Creation in Large Scale HVAC Environments through Automated Fault Detection and Diagnosis
Dudley, S, Dey, M and Rana, S. (2018). Smart Building Creation in Large Scale HVAC Environments through Automated Fault Detection and Diagnosis. Future Generation Computer Systems. 108, pp. 950-966. https://doi.org/10.1016/j.future.2018.02.019
Remote Vital Sign Recognition Through Machine Learning Augmented UWB
Dudley, S, Rana, S., Dey, M, Brown, R and Siddiqui, H (2018). Remote Vital Sign Recognition Through Machine Learning Augmented UWB. European Conference on Antennas and Propagation. Excel London, Docklands 09 - 13 Apr 2018 London South Bank University. https://doi.org/10.1049/cp.2018.0978
Visual analytics in the public sector: An analysis on diversities and similarities of London’s wards
Chen, D, Sanz, BM and Zhao, E (2018). Visual analytics in the public sector: An analysis on diversities and similarities of London’s wards. International Conference on Big Data Analytics, Data Mining and Computational Intelligence 2018 (BigDaCI 2018). Madrid, Spain 18 - 20 Jul 2018 Bigdaci.
Skin Cancer Detection through Microwaves: Validation on Phantom Measurements
Ghavami, M, Ghavami, N, Khalesi, B, Tiberi, G and Dudley, S (2018). Skin Cancer Detection through Microwaves: Validation on Phantom Measurements. IEEE International Conference on Imaging Systems and Techniques (IST 2018). Krakow, Poland 16 - 18 Oct 2018 https://doi.org/10.1109/IST.2018.8577109
Contour Mapping for Speaker-Independent Lip Reading System
Fenghour, S, Chen, D and Xiao, P (2018). Contour Mapping for Speaker-Independent Lip Reading System. The 11th International Conference on Machine Vision (ICMV 2018). Munich, Germany 01 - 03 Nov 2018
A Self Regulating and Crowdsourced Indoor Positioning System through Wi-Fi Fingerprinting for Multi Storey Building
Rana, S., Dey, M and Dudley, S (2018). A Self Regulating and Crowdsourced Indoor Positioning System through Wi-Fi Fingerprinting for Multi Storey Building. Sensors. 18 (11), pp. 1-15. https://doi.org/10.3390/s18113766
Semi-Supervised Learning Techniques for Automated Fault Detection and Diagnosis of HVAC System
Dudley, S, Dey, M and Rana, S. (2018). Semi-Supervised Learning Techniques for Automated Fault Detection and Diagnosis of HVAC System. IEEE International Conference on Tools with Artificial Intelligence (ICTAI-2018). Volos, Greece 05 - 07 Nov 2018
Automated Peripheral Neuropathy Assessment using Optical Imaging and Foot Anthropometry
Dudley, S, Siddiqui, H, Alty, SR and Spruce, M (2015). Automated Peripheral Neuropathy Assessment using Optical Imaging and Foot Anthropometry. IEEE Transactions on Biomedical Engineering. 62 (8), pp. 1911-1917. https://doi.org/10.1109/TBME.2015.2407056
Automated Semmes Weinstein monofilament examination replication using optical imaging and mechanical probe assembly
Dudley, S, Siddiqui, H, Alty, SR and Spruce, M (2015). Automated Semmes Weinstein monofilament examination replication using optical imaging and mechanical probe assembly. 12th International Symposium on Biomedical Imaging (ISBI). Brooklyn, USA 16 - 19 Apr 2015 London South Bank University. https://doi.org/10.1109/ISBI.2015.7163933
Experimental vital signs estimation using commercially available IR-UWB radar
Adjrad, M, Dudley, S and Ghavami, M (2014). Experimental vital signs estimation using commercially available IR-UWB radar. Radar Conference. Lille 13 - 17 Oct 2014 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/RADAR.2014.7060328
Human Behaviour Model Combining Multiple Sensors
Liao, Z, Buchanan, K, Ghavami, N, Vastardis, N, Adjrad, M, Koch, C, Ghavami, M, Anderson, B, Yang, K, Russo, R and Dudley, S (2015). Human Behaviour Model Combining Multiple Sensors. Conference of the eceee 2015 Summer Study on energy efficiency. Presqu’île de Giens Toulon/Hyères, France 01 - 06 Jun 2015 London South Bank University.
A new approach for event detection using k-means clustering and neural networks.
Oladimeji, MO, Turkey, M, Ghavami, M and Dudley, S (2015). A new approach for event detection using k-means clustering and neural networks. 2015 International Joint Conference on Neural Networks (IJCNN). Killarney Institute of Electrical and Electronics Engineers (IEEE). pp. 1 - 5 https://doi.org/10.1109/IJCNN.2015.7280752
A PID inspired feature extraction method for HVAC terminal units
Dey, M., Gupta, M., Rana, S., Turkey, M. and Dudley-Mcevoy, S. (2017). A PID inspired feature extraction method for HVAC terminal units. IEEE Conference on Technologies for Sustainability (SusTech 2017). Phoenix, Arizona, USA 12 - 14 Nov 2017 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/sustech.2017.8333470
Occupancy based household energy disaggregation using ultra wideband radar and electrical signature profiles
Brown, R., Ghavami, N., Siddiqui, H., Adjrad, M., Ghavami, M. and Dudley-Mcevoy, S. (2017). Occupancy based household energy disaggregation using ultra wideband radar and electrical signature profiles. Energy and Buildings. 141, pp. 134-141. https://doi.org/10.1016/j.enbuild.2017.02.004
HACH: Heuristic Algorithm for Clustering Hierarchy Protocol in Wireless Sensor Network
Dudley, S, Turkey, M and Oladimeji, M. (2017). HACH: Heuristic Algorithm for Clustering Hierarchy Protocol in Wireless Sensor Network. Applied Soft Computing. 55, pp. 452-461. https://doi.org/10.1016/j.asoc.2017.02.016
Experimental Validation of a Thirteen Level H-Bridge Photovoltaic Inverter Configuration
Dudley, S, Loukriz, A and Quinlan, T (2017). Experimental Validation of a Thirteen Level H-Bridge Photovoltaic Inverter Configuration. IEEE EEEIC17 and I&CPS Europe. Milan, Italy 06 - 09 Jun 2017 Institute of Electrical and Electronics Engineers (IEEE).
Unsupervised Learning Techniques for HVAC Terminal Unit Behaviour Analysis
Dey, M, Gupta, M, Turkey, M and Dudley, S (2017). Unsupervised Learning Techniques for HVAC Terminal Unit Behaviour Analysis. IEEE International Conference on Smart City Innovations. Fremont, California, USA 04 - 08 Aug 2017 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/UIC-ATC.2017.8397584
Learning Bayesian Network Parameters from a Small Data Set: A Further Constrained Qualitatively Maximum a Posteriori Method
Guo, Zhi-gao, Gao, Xiao-guang, Hao, Ren, Yang, Yu, Di, Ruo-hai and Chen, D (2017). Learning Bayesian Network Parameters from a Small Data Set: A Further Constrained Qualitatively Maximum a Posteriori Method. International Journal of Approximate Reasoning. 91 (Dec), pp. 22-35. https://doi.org/10.1016/j.ijar.2017.08.009
Feature Extraction and Labelling Large Data Sets Using Deep Learning
Chen, D (2017). Feature Extraction and Labelling Large Data Sets Using Deep Learning. RESEARCHER LINK: Smart Technology for Fighting Virus Epidemics & Bioinformatics. Recife, Pernambuco, Brazil 10 - 13 Sep 2017
UWB Localization Employing Supervised Learning Method
Rana, S., Dey, M., Siddiqui, H., Tiberi, G., Ghavami, M. and Dudley, S (2017). UWB Localization Employing Supervised Learning Method. IEEE International Conference on Ubiquitous Wireless Broadband 2017. Salamanca, Spain 12 - 15 Sep 2017 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICUWB.2017.8250971
Prediction of Breast Cancer Survivability using Ensemble Algorithms
Adegoke, V, Chen, D, Banissi, E and Barikzai, S (2017). Prediction of Breast Cancer Survivability using Ensemble Algorithms. International Conference on Smart System and Technologies 2017 (SST 2017),. Osijek, Croatia 18 - 20 Oct 2017
A PID Inspired Feature Extraction for HVAC Terminal Units
Dey, M, Gupta, M, Rana, S., Turkey, M and Dudley, S (2017). A PID Inspired Feature Extraction for HVAC Terminal Units. IEEE Conference on Technologies for Sustainability (SusTech 2017). Phoenix, Arizona, USA 12 - 14 Nov 2017 Institute of Electrical and Electronics Engineers (IEEE).
Predictive Ensemble Modelling: An Experimental Comparison of Boosting Implementation Methods
Adegoke, V, Chen, D, Barikzai, S and Banissi, E (2017). Predictive Ensemble Modelling: An Experimental Comparison of Boosting Implementation Methods. 2017 European Modelling Symposium (EMS). Manchester 20 - 21 Nov 2017
Adaptive robust video broadcast via satellite
Altaf, M, Khan, FA, Khan, N, Ghanbari, M and Dudley, S (2016). Adaptive robust video broadcast via satellite. Multimedia Tools and Applications. 76 (6), pp. 7785-7801. https://doi.org/10.1007/s11042-016-3426-y
Making Better Use of Big Data
Chen, D (2016). Making Better Use of Big Data. LSBU Enterprise Count Event, March 2016. London Southbank University 18 - 18 Mar 2016 London South Bank University.
Experimental Realization of a Single-Phase Five Level Inverter for PV Applications
Loukriz, A, Dudley, S, Quinlan, T and Walker, S (2016). Experimental Realization of a Single-Phase Five Level Inverter for PV Applications. IEEE Workshop on Control and Modeling for Power Electronics (COMPEL) 2016. Trondheim, Norway 27 - 30 Jun 2016 Institute of Electrical and Electronics Engineers (IEEE).
Big Data Analytics In The Public Sector: A Case Study Of NEET Analysis For The London Boroughs
Chen, D, Asaolu, B and Qin, C (2016). Big Data Analytics In The Public Sector: A Case Study Of NEET Analysis For The London Boroughs. International Conference on Big Data Analytics, Data Mining and Computational Intelligence. Funchal, Madeira, Portugal 02 - 04 Jul 2016
Huygens Principle based UWB Microwave Imaging Method for Skin Cancer Detection
Ghavami, N, Tiberi, G, Ghavami, M, Dudley, S and Lane, ME (2016). Huygens Principle based UWB Microwave Imaging Method for Skin Cancer Detection. 10th IEEE/IET International Symposium on Communication Systems, Networks and Digital Signal Processing. Prague, Czech Republic 20 - 22 Jul 2016 Institute of Electrical and Electronics Engineers (IEEE).
Iterated Local Search Algorithm for Clustering Wireless Sensor Networks.
Dudley, S, Oladimeji, MO and Turkey, M (2016). Iterated Local Search Algorithm for Clustering Wireless Sensor Networks. 2016 IEEE Congress on Evolutionary Computation (CEC). Vancouver, Canada 24 - 29 Jul 2016 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/CEC.2016.7744200
Development of a Wall Climbing Robotic Ground Penetrating Radar System for Inspection of Vertical Concrete Structures
Sattar, TP, Howlader, MOF and Dudley, S (2016). Development of a Wall Climbing Robotic Ground Penetrating Radar System for Inspection of Vertical Concrete Structures. International Journal of Mechanical, Aerospace, Industrial, Mechatronic and Manufacturing Engineering. 10 (8), pp. 1346-1352.
A heuristic crossover enhanced evolutionary algorithm for clustering wireless sensor network
Oladimeji, MO, Turkey, M and Dudley, S (2016). A heuristic crossover enhanced evolutionary algorithm for clustering wireless sensor network. EvoApplications Evostar 2016. Porto, Portugal 30 Mar - 01 Apr 2016 https://doi.org/10.1007/978-3-319-31204-0_17
On Distributed Deep Network for Processing Large-Scale Sets of Complex Data
Qin, C, Gao, X and Chen, D (2016). On Distributed Deep Network for Processing Large-Scale Sets of Complex Data. 2016 8th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC). Hangzhou, China. 27 - 28 Aug 2016 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/IHMSC.2016.55
A novel single-phase thirteen level inverter for photovoltaic application
Loukriz, A, Dudley, S, Messalti, S, Quinlan, T, Loukriz, A and Walker, S (2016). A novel single-phase thirteen level inverter for photovoltaic application. 8th International Conference on Modelling, Identification and Control (ICMIC-2016). Algiers, Algeria- November 15-17, 2016 15 - 17 Nov 2016 Institute of Electrical and Electronics Engineers (IEEE). pp. 532-537 https://doi.org/10.1109/ICMIC.2016.7804170
A Bayesian Approach to Learn Bayesian Networks Using Data and Constraints
Gao, X, Yu, Y, Zhi-gao, G and Chen, D (2016). A Bayesian Approach to Learn Bayesian Networks Using Data and Constraints. 23rd International Conference on Pattern Recognition (ICPR 2016). Cancún, México 04 - 08 Dec 2016 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICPR.2016.7900204
Big Data Analytics System for Fact/Data-driven Decision Making
Chen, D (2015). Big Data Analytics System for Fact/Data-driven Decision Making. The Royal Statistical Society, Business and Industry Section. London, UK 18 Nov 2015 Royal Statistical Society .
A user-centric system architecture for residential energy consumption reduction
Vastardis, N, Adjrad, M, Buchanan, K, Liao, Z, Koch, C, Russo, R, Yang, K, Ghavami, M, Anderson, B and Dudley, S (2014). A user-centric system architecture for residential energy consumption reduction. IEEE Online Conference on Green Communications. Online 12 - 14 Nov 2014 Institute of Electrical and Electronics Engineers (IEEE). pp. 1-7 https://doi.org/10.1109/OnlineGreenCom.2014.7114423
Determining Key (Predictor) Modules for Early Identification of Students At-Risk
Chen, D and Elliott, G (2013). Determining Key (Predictor) Modules for Early Identification of Students At-Risk. International Conference on Advanced Information Engineering and Education Science (ICAIEES 2013). Beijing, China 19 - 20 Dec 2013 Atlantis Press. https://doi.org/10.2991/icaiees-13.2013.22
Data mining for the online retail industry: A case study of RFM model-based customer segmentation using data mining
Chen, D (2012). Data mining for the online retail industry: A case study of RFM model-based customer segmentation using data mining. Journal of Database Marketing and Customer Strategy Management. 19 (3), pp. 197-208. https://doi.org/10.1057/dbm.2012.17