Richi Nayak

发表

Generating Predicate Rules from Neural Networks

Richi Nayak, 2005, IDEAL.

Personalized Recommender Systems Integrating Social Tags and Item Taxonomy

Richi Nayak, Li-Tung Weng, Yue Xu, 2009, 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology.

Learning Inter- and Intra-Manifolds for Matrix Factorization-Based Multi-Aspect Data Clustering pdf

Richi Nayak, Khanh Luong, R. Nayak, 2020, IEEE Transactions on Knowledge and Data Engineering.

The Hidden Web, XML and Semantic Web: A Scientific Data Management Perspective pdf

Richi Nayak, Fabian M. Suchanek, Pierre Senellart, 2011, ArXiv.

A data analytics case study assessing factors affecting pavement deflection values

Richi Nayak, Majid Seyfi, Rakesh Rawat, 2013, Int. J. Bus. Intell. Data Min..

A Reciprocal Collaborative Method Using Relevance Feedback and Feature Importance

Richi Nayak, Lin Chen, R. Nayak, 2013, 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT).

Evaluation of a hybrid approach of personalized web information retrieval using the FIRE data set

Namita Mittal, Richi Nayak, Mahesh Chandra Govil, 2010, A2CWiC '10.

Knowledge Discovery over the Deep Web, Semantic Web and XML

Richi Nayak, Fabian M. Suchanek, Pierre Senellart, 2009, DASFAA.

GYAN: A methodology for rule extraction from artificial neural networks

Richi Nayak, R. Nayak, 1999 .

Deep Learning-Based Approaches for Sentiment Analysis

Richi Nayak, Srikanta Patnaik, Basant Agarwal, 2020 .

Link-the-Wiki: Performance Evaluation Based on Frequent Phrases

Richi Nayak, Shlomo Geva, Mao-Lung Chen, 2008, INEX.

A Novel Approach to Learning Consensus and Complementary Information for Multi-View Data Clustering

Richi Nayak, Khanh Luong, R. Nayak, 2020, 2020 IEEE 36th International Conference on Data Engineering (ICDE).

A common neighbour based two-way collaborative recommendation method

Richi Nayak, Yue Xu, Lin Chen, 2012, SAC '12.

A knowledge retrieval model using ontology mining and user profiling

Richi Nayak, Yuefeng Li, Xiaohui Tao, 2008, Integr. Comput. Aided Eng..

Using parallel hierarchical clustering to address spatial big data challenges

Richi Nayak, Shlomo Geva, Ling-Xiang Tang, 2016, 2016 IEEE International Conference on Big Data (Big Data).

How Healthy Is Your Agency? Employing Data Mining in a Health Agency System

Richi Nayak, David Warren, R. Nayak, 2002 .

An Efficient Neighbourhood Estimation Technique for Making Recommendations

Richi Nayak, Li-Tung Weng, Yue Xu, 2008, ICEIS.

Message from the General Chairs

Richi Nayak, Yue Xu, David Abramson, 2008, CARN.

Automatic integration of Heterogenous XML-schemas

Richi Nayak, Fu Bo Xia, 2004, iiWAS.

Clustering XML Documents Using Frequent Subtrees

Richi Nayak, Yuefeng Li, Tien Tran, 2008, INEX.

Web Information Recommendation Making Based on Item Taxonomy

Richi Nayak, Li-Tung Weng, Yue Xu, 2008, ICEIS.

Application of wavelet theory to find correlation between readings of two deflection measuring devices

Richi Nayak, Rakesh Rawat, J Weligamage, 2012 .

Wireless Technologies to Enable Electronic Business

Richi Nayak, 2005, Encyclopedia of Information Science and Technology.

TAnoGAN: Time Series Anomaly Detection with Generative Adversarial Networks

Richi Nayak, Md Abul Bashar, 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).

Leveraging the network information for evaluating answer quality in a collaborative question answering portal

Richi Nayak, Lin Chen, R. Nayak, 2012, Social Network Analysis and Mining.

Improving Matching Process in Social Network Using Implicit and Explicit User Information

Richi Nayak, Yue Xu, Lin Chen, 2011, APWeb.

A Two-Stage Item Recommendation Method Using Probabilistic Ranking with Reconstructed Tensor Model

Richi Nayak, Noor Ifada, 2014, UMAP.

XML Schema Element Similarity Measures: A Schema Matching Context

Richi Nayak, Gunter Saake, Alsayed Algergawy, 2009, OTM Conferences.

An Efficient Tagging Data Interpretation and Representation Scheme for Item Recommendation

Richi Nayak, Noor Ifada, 2014, AusDM.

Reconstruction of web forms for efficient web search

Namita Mittal, Richi Nayak, Neeraj Jain, 2009, 2009 Proceeding of International Conference on Methods and Models in Computer Science (ICM2CS).

MH-DAGMiner: maximal hierarchical sub-DAG mining in directed weighted networks

Richi Nayak, T. M. G. Tennakoon, R. Nayak, 2018, Knowledge and Information Systems.

Data mining for web-enabled electronic business applications

Richi Nayak, R. Nayak, 2003 .

Identifying Differences in Safe Roads and Crash Prone Roads Using Clustering Data Mining

Richi Nayak, Justin Weligamage, Daniel Emerson, 2014 .

Efficient Neighbourhood Estimation for Recommendation Making

Richi Nayak, Li-Tung Weng, Yue Xu, 2008, ICEIS.

A Text Mining Approach to Explain What Being Actively Engaged in Life Means

Richi Nayak, Laurie Buys, R. Nayak, 2007 .

The Ranking Based Constrained Document Clustering Method and Its Application to Social Event Detection

Richi Nayak, Taufik Sutanto, R. Nayak, 2014, DASFAA.

Understanding People Relationship: Analysis of Digitised Historical Newspaper Articles

Richi Nayak, Sharon Torao-Pingi, 2015, Australasian Conference on Artificial Intelligence.

Report on INEX 2010

Richi Nayak, Andrew Trotman, Gabriella Kazai, 2011, SIGF.

Alternate approach to Time Series reduction

Richi Nayak, Chee Keong Wee, 2018, 2018 International Conference on Soft-computing and Network Security (ICSNS).

Discovering Communities with SGNS Modelling-based Network connections and Text communications Clustering

Richi Nayak, Wathsala Anupama Mohotti, R. Nayak, 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).

A Novel Learning-to-Rank Method for Automated Camera Movement Control in E-Sports Spectating

Richi Nayak, Hendi Lie, Darren Lukas, 2018, AusDM.

Innovations in Web Applications by Using the Artificial Intelligence Paradigm

Richi Nayak, Lakhmi C. Jain, L. Jain, 2008 .

Organizing Visions in Online Social Networks: The Role of Community Heterogeneity and Real-time Engagement

Richi Nayak, Erwin Fielt, Marek Kowalkiewicz, 2018, ICIS.

Semantics-Based Web Service Discovery Using Information Retrieval Techniques

Richi Nayak, Jinglan Zhang, Jun Hou, 2010, INEX.

Artificial neural networks in biomedical engineering: a review

Richi Nayak, Lakhmi C. Jain, B. Ting, 2001 .

A Social Matching System for an Online Dating Network: A Preliminary Study

Richi Nayak, Meng Zhang, Lin Chen, 2010, 2010 IEEE International Conference on Data Mining Workshops.

Finding and Matching Communities in Social Networks Using Data Mining

Richi Nayak, Yue Xu, Slah Alsaleh, 2011, 2011 International Conference on Advances in Social Networks Analysis and Mining.

Data Replication Optimization Using Simulated Annealing

Richi Nayak, Chee Keong Wee, R. Nayak, 2019, AusDM.

Combining Structure and Content Similarities for XML Document Clustering

Richi Nayak, Peter Bruza, Tien Tran, 2008, AusDM.

Identifying Points of Interest for Elderly in Singapore through Mobile Crowdsensing

Richi Nayak, Chau Yuen, Belinda Yuen, 2017, SMARTGREENS.

Efficient Nonnegative Tensor Factorization via Saturating Coordinate Descent

Richi Nayak, Chau Yuen, Balasubramaniam Thirunavukarasu, 2020, ACM Trans. Knowl. Discov. Data.

Column-Wise Element Selection for Computationally Efficient Nonnegative Coupled Matrix Tensor Factorization pdf

Richi Nayak, Chau Yuen, Balasubramaniam Thirunavukarasu, 2020, IEEE Transactions on Knowledge and Data Engineering.

A Recommendation Method for Online Dating Networks Based on Social Relations and Demographic Information

Richi Nayak, Yue Xu, Lin Chen, 2011, 2011 International Conference on Advances in Social Networks Analysis and Mining.

Data Mining the Relationship Between Road Crash and Skid Resistance

Richi Nayak, Justin Weligamage, Daniel Emerson, 2014, WCE-2015 2015.

Fine-grained Type Inference in Knowledge Graphs via Probabilistic and Tensor Factorization Methods

Richi Nayak, A. B. M. Moniruzzaman, Maolin Tang, 2019, WWW.

Understanding the Spatio-temporal Topic Dynamics of Covid-19 using Nonnegative Tensor Factorization: A Case Study

Richi Nayak, Md Abul Bashar, Thirunavukarasu Balasubramaniam, 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).

Do-Rank: DCG Optimization for Learning-to-Rank in Tag-Based Item Recommendation Systems

Richi Nayak, Noor Ifada, 2015, PAKDD.

Clustering of web users using the tensor decomposed models

Richi Nayak, Yuefeng Li, Rakesh Rawat, 2010 .

Understanding the Lifestyle of Older Population: Mobile Crowdsensing Approach

Richi Nayak, Chau Yuen, Belinda Yuen, 2019, IEEE Transactions on Computational Social Systems.

An innovative model for evaluating the leanness of manufacturing organizations

Richi Nayak, Amin, Karim, 2012 .

Connecting users and items with weighted tags for personalized item recommendations

Richi Nayak, Yue Xu, Yuefeng Li, 2010, HT '10.

Reducing redundancy of test cases generation using code smell detection and refactoring

Richi Nayak, Sapiee Jamel, Rosziati Ibrahim, 2020, J. King Saud Univ. Comput. Inf. Sci..

An Efficient Ranking-Centered Density-Based Document Clustering Method

Richi Nayak, Wathsala Anupama Mohotti, 2018, PAKDD.

Social network analysis of an online dating network

Richi Nayak, Lin Chen, 2011, C&T.

Topic, Sentiment and Impact Analysis: COVID19 Information Seeking on Social Media pdf

Richi Nayak, Md Abul Bashar, Thirunavukarasu Balasubramaniam, 2020, ArXiv.

XML Documents Clustering Using a Tensor Space Model

Richi Nayak, Yuefeng Li, Sangeetha Kutty, 2011, PAKDD.

Finding additional semantic entity information for search engines

Richi Nayak, Jinglan Zhang, Jun Hou, 2012, ADCS.

Data Mining and Mobile Business Data

Richi Nayak, R. Nayak, 2005, Encyclopedia of Information Science and Technology.

ADMRG @ MediaEval 2013 Social Event Detection

Richi Nayak, Taufik Sutanto, 2013, MediaEval.

Data Mining and XML Documents

Richi Nayak, Anton Tonev, Rebecca Witt, 2002, International Conference on Internet Computing.

Use of Data Mining in System Development Life Cycle

Richi Nayak, Tian Qiu, 2006, Selected Papers from AusDM.

The user query based learning system for lifetime prediction of metallic components

Richi Nayak, Yuefeng Li, Yue Xu, 2005 .

The Use of Various Data Mining and Feature Selection Methods in the Analysis of a Population Survey Dataset

Richi Nayak, Ellen Pitt, R. Nayak, 2007, AIDM.

Horizon scan 3: July, 2017 (Publication No. 17-049)

Richi Nayak, Debra Polson, Grant Hamilton, 2017 .

Tag Based Collaborative Filtering for Recommender Systems

Richi Nayak, Yue Xu, Yuefeng Li, 2009, RSKT.

A Novel Cluster Center Estimation Algorithm with Hybrid Partitional Clustering

Richi Nayak, Li-Tung Weng, Yue Xu, 2007, DMIN.

Process of applying data mining techniques to XML data

Richi Nayak, R. Nayak, 2006, AMT.

Knowledge discovery from XML documents : First International Workshop, KDXD 2006, Singapore, April 9, 2006 : proceedings

Richi Nayak, Mohammed J. Zaki, Kdxd, 2006 .

How Relevant is the Irrelevant Data: Leveraging the Tagging Data for a Learning-to-Rank Model

Richi Nayak, Noor Ifada, R. Nayak, 2016, WSDM.

A concept-based retrieval method for entity-oriented search

Richi Nayak, Jun Hou, 2013, AusDM 2013.

Evolution of the Web in Artificial Intelligence Environments (Studies in Computational Intelligence) (Studies in Computational Intelligence) (Studies in Computational Intelligence)

Richi Nayak, Lakhmi C. Jain, Nikhi Ichalkaranje, 2008 .

Adaptive Data Replication Optimization Based on Reinforcement Learning

Richi Nayak, Chee Keong Wee, R. Nayak, 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).

Transfer Learning via Feature Selection Based Nonnegative Matrix Factorization

Richi Nayak, Chau Yuen, Balasubramaniam Thirunavukarasu, 2020, WISE.

An Introduction to the Evolution of the Web in an Artificial Intelligence Environment

Richi Nayak, Lakhmi C. Jain, L. Jain, 2008 .

Utilising Semantic Tags in XML Clustering

Richi Nayak, Yuefeng Li, Sangeetha Kutty, 2009, INEX.

Adaptive Database's Performance Tuning Based on Reinforcement Learning

Richi Nayak, Chee Keong Wee, R. Nayak, 2019, PKAW.

Consistency Check between XML Schema and Class Diagram for Document Versioning

Richi Nayak, Hannani Aman, Sapiee Jamel, 2018 .

Efficient Feature Selection and Nearest Neighbour Search for Hyperspectral Image Classification

Richi Nayak, Shlomo Geva, Timothy Chappell, 2016, 2016 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Personalized recommender system based on item taxonomy and folksonomy

Richi Nayak, Yue Xu, Yuefeng Li, 2010, CIKM.

Mining for Web-Enabled E-Business Application

Richi Nayak, R. Nayak, 2005 .

Discovering interesting information with advances in web technology

Richi Nayak, Fabian M. Suchanek, Pierre Senellart, 2012, SKDD.

Ontology Mining for Personalized Web Information Gathering

Richi Nayak, Yuefeng Li, Ning Zhong, 2007, IEEE/WIC/ACM International Conference on Web Intelligence (WI'07).

Improving web database search incorporating users query information

Richi Nayak, Yuefeng Li, Rakesh Rawat, 2011, WIMS '11.

A Case Study of Utilising Concept Knowledge in a Topic Specific Document Collection

Richi Nayak, Gavin Shaw, 2014, AusDM.

HCX: an efficient hybrid clustering approach for XML documents

Richi Nayak, Yuefeng Li, Sangeetha Kutty, 2009, DocEng '09.

Road crash proneness prediction using data mining

Richi Nayak, Justin Weligamage, Noppadol Piyatrapoomi, 2011, EDBT/ICDT '11.

Parallel Streaming Signature EM-tree: A Clustering Algorithm for Web Scale Applications

Richi Nayak, Shlomo Geva, Lance De Vine, 2015, WWW.

A Novel Technique of Using Coupled Matrix and Greedy Coordinate Descent for Multi-view Data Representation

Richi Nayak, Balasubramaniam Thirunavukarasu, Khanh Luong, 2018, WISE.

Data Mining in Conceptualising Active Ageing

Richi Nayak, Laurie Buys, Jan Lovie-Kitchin, 2006, AusDM.

Frequent pattern mining on XML documents

Richi Nayak, Sangeetha Kutty, 2008 .

Clustering XML Documents Using Closed Frequent Subtrees: A Structural Similarity Approach

Richi Nayak, Yuefeng Li, Tien Tran, 2007, INEX.

Concept Mining in Online Forums Using Self-corpus-Based Augmented Text Clustering

Richi Nayak, Wathsala Anupama Mohotti, Darren Christopher Lukas, 2019, PRICAI.

A Recommendation Approach Dealing with Multiple Market Segments

Richi Nayak, Lin Chen, R. Nayak, 2013, 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT).

Recommender System Framework Using Clustering and Collaborative Filtering

Namita Mittal, Richi Nayak, Mahesh Chandra Govil, 2010, 2010 3rd International Conference on Emerging Trends in Engineering and Technology.

Theoretical Model of User Acceptance: In the View of Measuring Success in Web Personalization

Richi Nayak, Mohd Afandi Md Amin, 2010, HCIS.

A User Driven Data Mining Process Model and Learning System

Richi Nayak, Yue Xu, Yuefeng Li, 2008, DASFAA.

Efficient Outlier Detection in Text Corpus Using Rare Frequency and Ranking

Richi Nayak, Wathsala Anupama Mohotti, R. Nayak, 2020, ACM Trans. Knowl. Discov. Data.

Proceedings of the First international conference on Knowledge Discovery from XML Documents

Richi Nayak, Mohammed J. Zaki, R. Nayak, 2006 .

XCFS: an XML documents clustering approach using both the structure and the content

Richi Nayak, Yuefeng Li, Sangeetha Kutty, 2009, CIKM.

Dynamic Query Expansion for Efficient Information Retrieval

Namita Mittal, Richi Nayak, M.C. Govil, 2010, 2010 International Conference on Web Information Systems and Mining.

XML Documents Clustering Using Tensor Space Model -- A Preliminary Study

Richi Nayak, Yuefeng Li, Sangeetha Kutty, 2010, 2010 IEEE International Conference on Data Mining Workshops.

Users segmentations for recommendation

Richi Nayak, Yue Xu, Lin Chen, 2013, SAC '13.

WIMBY: What's in My Backyard?

Richi Nayak, Shlomo Geva, Alan Woodley, 2016, ACM Multimedia.

A Study of XML models for data mining : representations, methods, and issues

Richi Nayak, Tien Tran, Sangeetha Kutty, 2011 .

Data Mining For Lifetime Prediction of Metallic Components

Richi Nayak, Yue Xu, Yuefeng Li, 2006, AusDM.

Individual user behaviour modelling for effective web recommendation

Richi Nayak, Rakesh Rawat, Yuefeng Li, 2011 .

FCMiner: mining functional communities in social networks

Richi Nayak, T. M. G. Tennakoon, R. Nayak, 2019, Social Network Analysis and Mining.

An Interactive Predictive Data Mining System for Informed Decision

Richi Nayak, Esther Ge, 2008, DASFAA.

Influencing Factors in Achieving Active Ageing

Richi Nayak, Laurie Buys, Jan Lovie-Kitchin, 2006, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06).

A Novel Load Forecasting System Leveraging Database Technology

Richi Nayak, Chee Keong Wee, 2018, ACIIDS.

Parallel K-Tree: A multicore, multinode solution to extreme clustering

Richi Nayak, Shlomo Geva, Ling-Xiang Tang, 2019, Future Gener. Comput. Syst..

Detecting Digital Newspaper Duplicates with Focus on eliminating OCR errors

Richi Nayak, Yeshey Peden, 2014, AusDM.

XCLS: A Fast and Effective Clustering Algorithm for Heterogenous XML Documents

Richi Nayak, Sumei Xu, R. Nayak, 2006, PAKDD.

Deep Hierarchical Non-negative Matrix Factorization for Clustering Short Text

Richi Nayak, Wathsala Anupama Mohotti, R. Nayak, 2020, ICONIP.

Unsupervised Visual Time-Series Representation Learning and Clustering

Richi Nayak, Gaurangi Anand, R. Nayak, 2021, ICONIP.

Investigating Semantic Measures in XML Clustering

Richi Nayak, 2006, 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 Main Conference Proceedings)(WI'06).

Learning Association Relationship and Accurate Geometric Structures for Multi-Type Relational Data

Richi Nayak, Khanh Luong, R. Nayak, 2018, 2018 IEEE 34th International Conference on Data Engineering (ICDE).

Identifying Product Families Using Data Mining Techniques in Manufacturing Paradigm

Richi Nayak, Israt Jahan Chowdhury, 2014, AusDM.

A people-to-people matching system using graph mining techniques

Richi Nayak, Lin Chen, Sangeetha Kutty, 2013, World Wide Web.

Mining Discriminative Itemsets in Data Streams

Richi Nayak, Shlomo Geva, Majid Seyfi, 2014, WISE.

A novel process of group-oriented question reduction for rule-based recommendation websites

Richi Nayak, Lin Chen, Daniel Emerson, 2013, AusDM 2013.

Identifying Differences in Wet and Dry Road Crashes Using Data Mining

Richi Nayak, Justin Weligamage, Noppadol Piyatrapoomi, 2012, WCE 2012.

Assessment of Cardiovascular Disease Risk Prediction Models: Evaluation Methods

Richi Nayak, Ellen Pitt, 2011, DASFAA.

A Novel Database Exploitation Detection and Privilege Control System Using Data Mining

Richi Nayak, Chee Keong Wee, 2018, ACIIDS.

Electronic Business over Wireless Device: A Case Study

Richi Nayak, Anurag Nayak, R. Nayak, 2003 .

Introducing the Sky and the Social Eye

Richi Nayak, Shlomo Geva, Timothy Chappell, 2016, MediaEval.

Thai Word Segmentation with Hidden Markov Model and Decision Tree

Richi Nayak, Yue Xu, Poramin Bheganan, 2009, PAKDD.

XMine: A Methodology for Mining XML Structure

Richi Nayak, Wina Iryadi, R. Nayak, 2006, APWeb.

A Case Study of Failure Mode Analysis with Text Mining Methods

Richi Nayak, Lin Chen, 2007, AIDM.

An Ontology-Based Framework for Knowledge Retrieval

Richi Nayak, Yuefeng Li, Ning Zhong, 2008, 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

XML Documents Clustering by Structures

Richi Nayak, Sumei Xu, R. Nayak, 2005, INEX.

Exploiting Item Taxonomy for Solving Cold-Start Problem in Recommendation Making

Richi Nayak, Li-Tung Weng, Yue Xu, 2008, 2008 20th IEEE International Conference on Tools with Artificial Intelligence.

Generating rules with predicates, terms and variables from the pruned neural networks

Richi Nayak, 2009, Neural Networks.

PCITMiner- Prefix-based Closed Induced Tree Miner for finding closed induced frequent subtrees

Richi Nayak, Yuefeng Li, Sangeetha Kutty, 2007, AusDM.

A novel machine learning approach for database exploitation detection and privilege control

Richi Nayak, Chee Keong Wee, R. Nayak, 2019, J. Inf. Telecommun..

Aggregate Distance Based Clustering Using Fibonacci Series-FIBCLUS

Richi Nayak, Yuefeng Li, Rakesh Rawat, 2011, APWeb.

Applications of Data Mining in Web Services

Richi Nayak, Cindy Tong, R. Nayak, 2004, WISE.

Propensity-to-Pay: Machine Learning for Estimating Prediction Uncertainty pdf

Richi Nayak, Md. Abul Bashar, M. A. Bashar, 2020, ArXiv.

A Novel Method for Finding Similarities between Unordered Trees Using Matrix Data Model

Richi Nayak, Israt Jahan Chowdhury, 2013, WISE.

Mining world knowledge for analysis of search engine content

Richi Nayak, Yuefeng Li, Xiaohui Tao, 2007, Web Intell. Agent Syst..

Extracting point of interest and classifying environment for low sampling crowd sensing smartphone sensor data

Richi Nayak, Chau Yuen, Belinda Yuen, 2017, 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops).

BOSTER: An Efficient Algorithm for Mining Frequent Unordered Induced Subtrees

Richi Nayak, Israt Jahan Chowdhury, 2014, WISE.

A data analytics application assessing pavement deflection factors for a road network

Richi Nayak, Rakesh Rawat, Justin Weligamage, 2012, IIWAS '12.

A Hybrid Approach of Personalized Web Information Retrieval

Namita Mittal, Richi Nayak, Mahesh Chandra Govil, 2010, 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

The hidden web, XML and the Semantic Web: scientific data management perspectives

Richi Nayak, Fabian M. Suchanek, Pierre Senellart, 2011, EDBT/ICDT '11.

Misogynistic Tweet Detection: Modelling CNN with Small Datasets

Richi Nayak, Md. Abul Bashar, Nicolas Suzor, 2018, AusDM.

XML data clustering: An overview

Richi Nayak, Gunter Saake, Alsayed Algergawy, 2011, CSUR.

Ontology Mining for Semantic Interpretation of Information Needs

Richi Nayak, Yuefeng Li, Xiaohui Tao, 2007, KSEM.

Knowledge Discovery in Mobile Business Data

Richi Nayak, Lawrence Seow, R. Nayak, 2004 .

Collaborative Filtering Recommender Systems Using Tag Information

Richi Nayak, Yue Xu, Yuefeng Li, 2008, 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

Using data mining on road asset management data in analysing road crashes

Richi Nayak, Justin Weligamage, Noppadol Piyatrapoomi, 2010 .

A hybrid neural network and simulated annealing approach to the unit commitment problem

Richi Nayak, Jaydev Sharma, 2000 .

Knowledge Discovery from XML documents: PAKDD 2006 Workshop Proceedings First International Workshop, KDXD 2006, Singapore, April 9, 2006.Vol. 3915.

Richi Nayak, Mohammad Zaki, 2006 .

Horizon scan 6: November, 2018 (Publication No. 18-080)

Richi Nayak, Grant Hamilton, Greg Hearn, 2018 .

Overview of the INEX 2009 XML Mining Track: Clustering and Classification of XML Documents

Richi Nayak, Ludovic Denoyer, Shlomo Geva, 2009, INEX.

A Fair Peer Selection Algorithm for an Ecommerce-Oriented Distributed Recommender System

Richi Nayak, Li-Tung Weng, Yue Xu, 2006, AMT.

Contextual Anomaly Detection in Spatio-Temporal Data Using Locally Dense Regions

Richi Nayak, Gaurangi Anand, R. Nayak, 2018, 2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI).

Clustering and Labeling a Web Scale Document Collection using Wikipedia clusters

Richi Nayak, Shlomo Geva, Christopher M. De Vries, 2014, Web-KR '14.

Fine-grained document clustering via ranking and its application to social media analytics

Richi Nayak, Taufik Sutanto, 2018, Social Network Analysis and Mining.

A Progressive Clustering Algorithm to Group the XML Data by Structural and Semantic Similarity

Richi Nayak, Tien Tran, R. Nayak, 2007, Int. J. Pattern Recognit. Artif. Intell..

A Concise Social Network Representation with Flow Hierarchy Using Frequent Interactions

Richi Nayak, T. M. G. Tennakoon, R. Nayak, 2018, 2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI).

Utilizing the Structure and Content Information for XML Document Clustering

Richi Nayak, Tien Tran, Sangeetha Kutty, 2008, INEX.

A Web data extraction approach to harvesting data from online sources

Richi Nayak, Magnus Haugaasen, 2006, AMT.

DeLTa: Deep local pattern representation for time-series clustering and classification using visual perception

Richi Nayak, Gaurangi Anand, R. Nayak, 2020, Knowl. Based Syst..

Temporal Pattern Matching for the Prediction of Stock Prices

Richi Nayak, Paul te Braak, R. Nayak, 2007, AIDM.

Richi Nayak, Gunter Saake, Alsayed Algergawy, 2010, Inf. Sci..

XML schema clustering with semantic and hierarchical similarity measures

Richi Nayak, Wina Iryadi, R. Nayak, 2007, Knowl. Based Syst..

Adaptive load forecasting using reinforcement learning with database technology

Richi Nayak, Chee Keong Wee, R. Nayak, 2019, J. Inf. Telecommun..

Clustering and Classification of Maintenance Logs using Text Data Mining

Richi Nayak, Brett Edwards, Michael Zatorsky, 2008, AusDM.

Facilitating and Improving the Use of Web Services with Data Mining

Richi Nayak, R. Nayak, 2007 .

Data Mining in Web Services Discovery and Monitoring

Richi Nayak, R. Nayak, 2008, Int. J. Web Serv. Res..

Clustering Multi-View Data Using Non-negative Matrix Factorization and Manifold Learning for Effective Understanding: A Survey Paper

Richi Nayak, Thi Ngoc Khanh Luong, 2019 .

A data mining based method for discovery of web services and their compositions

Richi Nayak, Aishwarya Bose, 2014 .

Using data mining to predict road crash count with a focus on skid resistance values

Richi Nayak, Justin Weligamage, Daniel Emerson, 2011 .

Finding Within-Organisation Spatial Information on the Web

Richi Nayak, Gordon Wyeth, Jun Hou, 2015, Australasian Conference on Artificial Intelligence.

Fast and Effective Clustering of XML Data Utilizing their Structural Information

Richi Nayak, 2008 .

FreeS: A Fast Algorithm to Discover Frequent Free Subtrees Using a Novel Canonical Form

Richi Nayak, Israt Jahan Chowdhury, 2015, WISE.

Distributed Recommender Profiling and Selection with Gittins Indices

Richi Nayak, Li-Tung Weng, Yue Xu, 2006, 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 Main Conference Proceedings)(WI'06).

Nonnegative Coupled Matrix Tensor Factorization for Smart City Spatiotemporal Pattern Mining

Richi Nayak, Chau Yuen, Balasubramaniam Thirunavukarasu, 2018, LOD.

Web Service Discovery with additional Semantics and Clustering

Richi Nayak, Bryan Lee, R. Nayak, 2007, IEEE/WIC/ACM International Conference on Web Intelligence (WI'07).

Discovering Knowledge from XML Documents

Richi Nayak, 2009, Encyclopedia of Data Warehousing and Mining.

Report on INEX 2009

Richi Nayak, Andrew Trotman, Gabriella Kazai, 2010, SIGF.

The Process and Application of XML Data Mining

Richi Nayak, 2008 .

PaperMiner - a real-time spatiotemporal visualization for newspaper articles

Richi Nayak, Paul Turnbull, Kerry Raymond, 2020, Digit. Scholarsh. Humanit..

A data mining driven risk profiling method for road asset management

Richi Nayak, Justin Weligamage, Daniel Emerson, 2013, KDD.

Automatically Acquiring Training Sets for Web Information Gathering

Richi Nayak, Yuefeng Li, Ning Zhong, 2006, 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 Main Conference Proceedings)(WI'06).

QutNocturnal@HASOC'19: CNN for Hate Speech and Offensive Content Identification in Hindi Language

Richi Nayak, Md. Abul Bashar, M. A. Bashar, 2020, FIRE.

Improving Matching Process in Social Network

Richi Nayak, Yue Xu, Lin Chen, 2010, 2010 IEEE International Conference on Data Mining Workshops.

Identifying interests of web users for effective recommendations

Richi Nayak, Yuefeng Li, Rakesh Rawat, 2011 .

Improve Recommendation Quality with Item Taxonomic Information

Richi Nayak, Li-Tung Weng, Yue Xu, 2008, ICEIS.

Utilizing Past Relations and User Similarities in a Social Matching System

Richi Nayak, R. Nayak, 2011, PAKDD.

Improving Recommendation Novelty Based on Topic Taxonomy

Richi Nayak, Li-Tung Weng, Yue Xu, 2007, 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops.

Knowledge Discovery from XML Documents

Richi Nayak, Mohammed J. Zaki, R. Nayak, 2006, Lecture Notes in Computer Science.

Expertise Analysis in a Question Answer Portal for Author Ranking

Richi Nayak, Lin Chen, R. Nayak, 2008, 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology.

Fast and effective clustering of XML data using structural information

Richi Nayak, R. Nayak, 2008, Knowledge and Information Systems.

Tensor-based item recommendation using probabilistic ranking in social tagging systems

Richi Nayak, Noor Ifada, 2014, WWW '14 Companion.

Discovering Influence Hierarchy Based on Frequent Social Interactions

Richi Nayak, T. M. G. Tennakoon, R. Nayak, 2018, 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).

Using web services to fuse remote sensing and multimedia data repositories

Richi Nayak, Shlomo Geva, Timothy Chappell, 2017, ACSW.

Collaborative filtering recommender systems based on popular tags

Richi Nayak, Huizhi Liang, Yue Xu, 2009 .

Improving Web Service Discovery by Using Semantic Models

Richi Nayak, Peter Bruza, Aishwarya Bose, 2008, WISE.

Multi-type Relational Data Clustering for Community Detection by Exploiting Content and Structure Information in Social Networks

Richi Nayak, Sharma Chakravarthy, T. M. G. Tennakoon, 2019, PRICAI.

XCFS - a novel approach for clustering XML documents using both the structure and the content

Richi Nayak, Sangeetha Kutty, Yuefeng Y. Li, 2009 .

Ranking Based Clustering for Social Event Detection

Richi Nayak, Taufik Sutanto, 2014, MediaEval.

The Heterogeneous Cluster Ensemble Method Using Hubness for Clustering Text Documents

Richi Nayak, Jun Hou, R. Nayak, 2013, WISE.

Efficient mining of discriminative itemsets

Richi Nayak, Yue Xu, Shlomo Geva, 2017, WI.

A semi-supervised graph-based algorithm for detecting outliers in online-social-networks

Richi Nayak, Reza Hassanzadeh, R. Hassanzadeh, 2013, SAC '13.

Grouping people in social networks using a weighted multi-constraints clustering method

Richi Nayak, Yue Xu, Slah Alsaleh, 2012, 2012 IEEE International Conference on Fuzzy Systems.

Analyzing the Effectiveness of Graph Metrics for Anomaly Detection in Online Social Networks

Richi Nayak, Douglas Stebila, Reza Hassanzadeh, 2012, WISE.

Combining Schema and Level-Based Matching for Web Service Discovery

Richi Nayak, Gunter Saake, Alsayed Algergawy, 2010, ICWE.

Corpus-Based Augmented Media Posts with Density-Based Clustering for Community Detection

Richi Nayak, Wathsala Anupama Mohotti, R. Nayak, 2018, 2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI).

A hybrid recommender systems based on weighted tags

Richi Nayak, Yuefeng Li, Huizhi Liang, 2010, SDM 2010.

Sparsity Constraint Nonnegative Tensor Factorization for Mobility Pattern Mining

Richi Nayak, Chau Yuen, Balasubramaniam Thirunavukarasu, 2019, PRICAI.

Injury narrative text classification using factorization model

Richi Nayak, Kirsten Vallmuur, Lin Chen, 2015, BMC Medical Informatics and Decision Making.

Two-way Recommendation Methods for Social Networks

Richi Nayak, 2014, PIKM '14.

Intelligent Data Analysis: Issues and Challenges

Richi Nayak, R. Nayak, 2002 .

BEST: An Efficient Algorithm for Mining Frequent Unordered Embedded Subtrees

Richi Nayak, Israt Jahan Chowdhury, 2014, PRICAI.

Robust clustering of multi-type relational data via a heterogeneous manifold ensemble

Richi Nayak, Jun Hou, 2015, 2015 IEEE 31st International Conference on Data Engineering.

Regularising LSTM classifier by transfer learning for detecting misogynistic tweets with small training set

Richi Nayak, Md Abul Bashar, M. A. Bashar, 2020, Knowledge and Information Systems.

An Approach to Compress and Represents Time Series Data and Its Application in Electric Power Utilities

Richi Nayak, Chee Keong Wee, 2018, AusDM.

A people-to-people recommendation system using tensor space models

Richi Nayak, Lin Chen, Sangeetha Kutty, 2012, SAC '12.

An Improvement to Collaborative Filtering for Recommender Systems

Richi Nayak, Li-Tung Weng, Yue Xu, 2005, International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06).

Semi-supervised Document Clustering via Loci

Richi Nayak, Taufik Sutanto, R. Nayak, 2015, WISE.

Understanding Urban Spatio-Temporal Usage Patterns Using Matrix Tensor Factorization

Richi Nayak, Chau Yuen, Balasubramaniam Thirunavukarasu, 2018, 2018 IEEE International Conference on Data Mining Workshops (ICDMW).

Web Service Discovery with additional Semantics and Clustering

Richi Nayak, Bryan Lee, 2007 .

Data Mining Application in a Software Project Management Process

Richi Nayak, Tian Qiu, 2004 .

Evaluating the Performance of XML Document Clustering by Structure Only

Richi Nayak, Tien Tran, 2006, INEX.

Effective Hybrid Recommendation Combining Users-Searches Correlations Using Tensors

Richi Nayak, Yuefeng Li, Rakesh Rawat, 2011, APWeb.