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ORCIDRichi Nayak
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- affiliation: Queensland University of Technology, Brisbane, QLD, Australia
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2020 – today
- 2022
[j41]Majid Seyfi, Richi Nayak
, Yue Xu, Shlomo Geva:
DISSparse: Efficient Mining of Discriminative Itemsets. J. Inf. Knowl. Manag. 21(1): 2250009:1-2250009:42 (2022)- [j40]Khanh Luong, Richi Nayak, Thirunavukarasu Balasubramaniam, Md. Abul Bashar:
Multi-layer manifold learning for deep non-negative matrix factorization-based multi-view clustering. Pattern Recognit. 131: 108815 (2022) - [j39]Md. Abul Bashar, Richi Nayak, Thirunavukarasu Balasubramaniam:
Deep learning based topic and sentiment analysis: COVID19 information seeking on social media. Soc. Netw. Anal. Min. 12(1): 90 (2022) - [j38]Khanh Luong, Richi Nayak:
Learning Inter- and Intra-Manifolds for Matrix Factorization-Based Multi-Aspect Data Clustering. IEEE Trans. Knowl. Data Eng. 34(7): 3349-3362 (2022) - [c163]Anandkumar Balasubramaniam, Thirunavukarasu Balasubramaniam, Anand Paul, Richi Nayak:
Latent Pattern Identification Using Orthogonal-Constraint Coupled Nonnegative Matrix Factorization. AI 2022: 675-689 - [c162]Sharon Torao-Pingi, Md. Abul Bashar, Richi Nayak:
A Comparative Look at the Resilience of Discriminative and Generative Classifiers to Missing Data in Longitudinal Datasets. AusDM 2022: 133-147 - [p3]Richi Nayak, Hee Sook Baek:
Machine Learning for Identifying Abusive Content in Text Data. Advances in Selected Artificial Intelligence Areas 2022: 209-229 - 2021
- [j37]Majid Seyfi, Richi Nayak, Yue Xu, Shlomo Geva:
Mining discriminative itemsets in data streams using the tilted-time window model. Knowl. Inf. Syst. 63(5): 1241-1270 (2021) - [j36]Wathsala Anupama Mohotti, Richi Nayak:
Discovering cluster evolution patterns with the Cluster Association-aware matrix factorization. Knowl. Inf. Syst. 63(6): 1397-1428 (2021) - [j35]Gaurangi Anand, Richi Nayak:
DeLTa: Deep local pattern representation for time-series clustering and classification using visual perception. Knowl. Based Syst. 212: 106551 (2021) - [j34]Thirunavukarasu Balasubramaniam, Richi Nayak, Khanh Luong, Md. Abul Bashar:
Identifying Covid-19 misinformation tweets and learning their spatio-temporal topic dynamics using Nonnegative Coupled Matrix Tensor Factorization. Soc. Netw. Anal. Min. 11(1): 57 (2021) - [j33]Md. Abul Bashar, Richi Nayak, Khanh Luong, Thirunavukarasu Balasubramaniam:
Progressive domain adaptation for detecting hate speech on social media with small training set and its application to COVID-19 concerned posts. Soc. Netw. Anal. Min. 11(1): 69 (2021) - [j32]Md. Abul Bashar, Richi Nayak:
Active Learning for Effectively Fine-Tuning Transfer Learning to Downstream Task. ACM Trans. Intell. Syst. Technol. 12(2): 24:1-24:24 (2021) - [j31]Thirunavukarasu Balasubramaniam, Richi Nayak, Chau Yuen, Yu-Chu Tian:
Column-Wise Element Selection for Computationally Efficient Nonnegative Coupled Matrix Tensor Factorization. IEEE Trans. Knowl. Data Eng. 33(9): 3173-3186 (2021) - [c161]Md. Abul Bashar, Richi Nayak, Anjor Kothare, Vishal Sharma, Kesavan Kandadai:
Deep Learning for Bias Detection: From Inception to Deployment. AusDM 2021: 86-101 - [c160]Duoyi Zhang, Richi Nayak, Md. Abul Bashar:
Exploring Fusion Strategies in Deep Learning Models for Multi-Modal Classification. AusDM 2021: 102-117 - [c159]Darren Yates, Md Zahidul Islam, Yanchang Zhao, Richi Nayak, Vladimir Estivill-Castro, Salil S. Kanhere:
PostMatch: A Framework for Efficient Address Matching. AusDM 2021: 136-151 - [c158]Yasuko Okamoto, Thirunavukarasu Balasubramaniam, Richi Nayak:
Investigation of Topic Modelling Methods for Understanding the Reports of the Mining Projects in Queensland. AusDM 2021: 196-208 - [c157]Richi Nayak, Thirunavukarasu Balasubramaniam, Sangeetha Kutty, Sachindra Banduthilaka, Erin E. Peterson:
A Semi-automatic Data Extraction System for Heterogeneous Data Sources: a Case Study from Cotton Industry. AusDM 2021: 209-222 - [c156]Anandkumar Balasubramaniam, Thirunavukarasu Balasubramaniam, Rathinaraja Jeyaraj, Anand Paul, Richi Nayak:
Nonnegative Matrix Factorization to Understand Spatio-Temporal Traffic Pattern Variations During COVID-19: A Case Study. AusDM 2021: 223-234 - [c155]Thirunavukarasu Balasubramaniam, Wathsala Anupama Mohotti, Richi Nayak, Chau Yuen:
NOCOL - Nonnegative Orthogonal Constraint Outlier Learning. WISE (2) 2021: 377-385 - [e2]Yue Xu, X. Rosalind Wang, Anton R. Lord, Yee Ling Boo, Richi Nayak, Yanchang Zhao, Graham Williams:
Data Mining - 19th Australasian Conference on Data Mining, AusDM, Brisbane, QLD, Australia, December 14-15, 2021, Proceedings. Communications in Computer and Information Science 1504, Springer 2021, ISBN 978-981-16-8530-9 [contents] - [i17]Md. Abul Bashar, Richi Nayak, Anjor Kothare, Vishal Sharma, Kesavan Kandadai:
Deep Learning for Bias Detection: From Inception to Deployment. CoRR abs/2110.15728 (2021) - [i16]Yasuko Okamoto, Thirunavukarasu Balasubramaniam, Richi Nayak:
Investigation of Topic Modelling Methods for Understanding the Reports of the Mining Projects in Queensland. CoRR abs/2111.03576 (2021) - [i15]Richi Nayak, Thirunavukarasu Balasubramaniam, Sangeetha Kutty, Sachindra Banduthilaka, Erin E. Peterson:
A Semi-automatic Data Extraction System for Heterogeneous Data Sources: A Case Study from Cotton Industry. CoRR abs/2111.03579 (2021) - [i14]Anandkumar Balasubramaniam, Thirunavukarasu Balasubramaniam, Rathinaraja Jeyaraj, Anand Paul, Richi Nayak:
Nonnegative Matrix Factorization to understand Spatio-Temporal Traffic Pattern Variations during COVID-19: A Case Study. CoRR abs/2111.03592 (2021) - [i13]Gaurangi Anand, Richi Nayak:
Unsupervised Visual Time-Series Representation Learning and Clustering. CoRR abs/2111.10309 (2021) - 2020
- [j30]Rosziati Ibrahim, Maryam Ahmed, Richi Nayak, Sapiee Jamel:
Reducing redundancy of test cases generation using code smell detection and refactoring. J. King Saud Univ. Comput. Inf. Sci. 32(3): 367-374 (2020) - [j29]Md. Abul Bashar, Richi Nayak, Nicolas Suzor:
Regularising LSTM classifier by transfer learning for detecting misogynistic tweets with small training set. Knowl. Inf. Syst. 62(10): 4029-4054 (2020) - [j28]Sangeetha Kutty, Richi Nayak, Paul Turnbull, Ron Chernich, Gavin Kennedy, Kerry Raymond:
PaperMiner - a real-time spatiotemporal visualization for newspaper articles. Digit. Scholarsh. Humanit. 35(1): 83-100 (2020) - [j27]Balasubramaniam Thirunavukarasu, Richi Nayak, Chau Yuen:
Efficient Nonnegative Tensor Factorization via Saturating Coordinate Descent. ACM Trans. Knowl. Discov. Data 14(4): 40:1-40:28 (2020) - [j26]Wathsala Anupama Mohotti, Richi Nayak:
Efficient Outlier Detection in Text Corpus Using Rare Frequency and Ranking. ACM Trans. Knowl. Discov. Data 14(6): 71:1-71:30 (2020) - [c154]Khanh Luong, Richi Nayak:
A Novel Approach to Learning Consensus and Complementary Information for Multi-View Data Clustering. ICDE 2020: 865-876 - [c153]Wathsala Anupama Mohotti, Richi Nayak:
Deep Hierarchical Non-negative Matrix Factorization for Clustering Short Text. ICONIP (2) 2020: 270-282 - [c152]Gaurangi Anand, Richi Nayak:
Unsupervised Visual Time-Series Representation Learning and Clustering. ICONIP (5) 2020: 832-840 - [c151]Chee Keong Wee, Richi Nayak:
Adaptive Data Replication Optimization Based on Reinforcement Learning. SSCI 2020: 1210-1217 - [c150]Thirunavukarasu Balasubramaniam, Richi Nayak, Md. Abul Bashar:
Understanding the Spatio-temporal Topic Dynamics of Covid-19 using Nonnegative Tensor Factorization: A Case Study. SSCI 2020: 1218-1225 - [c149]Wathsala Anupama Mohotti, Richi Nayak:
Discovering Communities with SGNS Modelling-based Network connections and Text communications Clustering. SSCI 2020: 1770-1777 - [c148]Md. Abul Bashar, Richi Nayak:
TAnoGAN: Time Series Anomaly Detection with Generative Adversarial Networks. SSCI 2020: 1778-1785 - [i12]Balasubramaniam Thirunavukarasu, Richi Nayak, Chau Yuen:
Columnwise Element Selection for Computationally Efficient Nonnegative Coupled Matrix Tensor Factorization. CoRR abs/2003.03506 (2020) - [i11]Balasubramaniam Thirunavukarasu, Richi Nayak, Chau Yuen:
Efficient Nonnegative Tensor Factorization via Saturating Coordinate Descent. CoRR abs/2003.03572 (2020) - [i10]Md. Abul Bashar, Richi Nayak:
TAnoGAN: Time Series Anomaly Detection with Generative Adversarial Networks. CoRR abs/2008.09567 (2020) - [i9]Md. Abul Bashar, Kieren Astin-Walmsley, Heath Kerina, Richi Nayak:
Propensity-to-Pay: Machine Learning for Estimating Prediction Uncertainty. CoRR abs/2008.12065 (2020) - [i8]Md. Abul Bashar, Richi Nayak, Thirunavukarasu Balasubramaniam:
Topic, Sentiment and Impact Analysis: COVID19 Information Seeking on Social Media. CoRR abs/2008.12435 (2020) - [i7]Md. Abul Bashar, Richi Nayak:
QutNocturnal@HASOC'19: CNN for Hate Speech and Offensive Content Identification in Hindi Language. CoRR abs/2008.12448 (2020) - [i6]Md. Abul Bashar, Richi Nayak, Nicolas Suzor, Bridget Weir:
Misogynistic Tweet Detection: Modelling CNN with Small Datasets. CoRR abs/2008.12452 (2020) - [i5]Khanh Luong, Richi Nayak:
Learning Inter- and Intra-manifolds for Matrix Factorization-based Multi-Aspect Data Clustering. CoRR abs/2009.02859 (2020) - [i4]Thirunavukarasu Balasubramaniam, Richi Nayak, Md. Abul Bashar:
Understanding the Spatio-temporal Topic Dynamics of Covid-19 using Nonnegative Tensor Factorization: A Case Study. CoRR abs/2009.09253 (2020)
2010 – 2019
- 2019
- [j25]Alan Woodley, Ling-Xiang Tang, Shlomo Geva, Richi Nayak, Timothy Chappell:
Parallel K-Tree: A multicore, multinode solution to extreme clustering. Future Gener. Comput. Syst. 99: 333-345 (2019) - [j24]Chee Keong Wee, Richi Nayak:
A novel machine learning approach for database exploitation detection and privilege control. J. Inf. Telecommun. 3(3): 308-325 (2019) - [j23]Chee Keong Wee, Richi Nayak:
Adaptive load forecasting using reinforcement learning with database technology. J. Inf. Telecommun. 3(3): 381-399 (2019) - [j22]T. M. G. Tennakoon, Richi Nayak:
MH-DAGMiner: maximal hierarchical sub-DAG mining in directed weighted networks. Knowl. Inf. Syst. 61(1): 431-462 (2019) - [j21]T. M. G. Tennakoon, Richi Nayak:
FCMiner: mining functional communities in social networks. Soc. Netw. Anal. Min. 9(1): 20:1-20:19 (2019) - [j20]Marakkalage Sumudu Hasala, Serhad Sarica, Billy Pik Lik Lau, Sanjana Kadaba Viswanath, Balasubramaniam Thirunavukarasu, Chau Yuen, Belinda Yuen, Jianxi Luo, Richi Nayak:
Understanding the Lifestyle of Older Population: Mobile Crowdsensing Approach. IEEE Trans. Comput. Soc. Syst. 6(1): 82-95 (2019) - [c147]Chee Keong Wee, Richi Nayak:
Data Replication Optimization Using Simulated Annealing. AusDM 2019: 222-234 - [c146]Md. Abul Bashar, Richi Nayak:
QutNocturnal@HASOC'19: CNN for Hate Speech and Offensive Content Identification in Hindi Language. FIRE (Working Notes) 2019: 237-245 - [c145]Chee Keong Wee, Richi Nayak:
Adaptive Database's Performance Tuning Based on Reinforcement Learning. PKAW 2019: 97-114 - [c144]Wathsala Anupama Mohotti, Darren Christopher Lukas, Richi Nayak:
Concept Mining in Online Forums Using Self-corpus-Based Augmented Text Clustering. PRICAI (1) 2019: 397-402 - [c143]Tennakoon Mudiyanselage Gayani Tennakoon, Khanh Luong, Wathsala Anupama Mohotti, Sharma Chakravarthy, Richi Nayak:
Multi-type Relational Data Clustering for Community Detection by Exploiting Content and Structure Information in Social Networks. PRICAI (2) 2019: 541-554 - [c142]Balasubramaniam Thirunavukarasu, Richi Nayak, Chau Yuen:
Sparsity Constraint Nonnegative Tensor Factorization for Mobility Pattern Mining. PRICAI (2) 2019: 582-594 - [c141]Balasubramaniam Thirunavukarasu, Richi Nayak, Chau Yuen:
Transfer Learning via Feature Selection Based Nonnegative Matrix Factorization. WISE 2019: 82-97 - [c140]A. B. M. Moniruzzaman, Richi Nayak, Maolin Tang, Balasubramaniam Thirunavukarasu:
Fine-grained Type Inference in Knowledge Graphs via Probabilistic and Tensor Factorization Methods. WWW 2019: 3093-3100 - 2018
- [j19]Taufik Sutanto, Richi Nayak:
Fine-grained document clustering via ranking and its application to social media analytics. Soc. Netw. Anal. Min. 8(1): 29:1-29:19 (2018) - [c139]Chee Keong Wee, Richi Nayak:
A Novel Load Forecasting System Leveraging Database Technology. ACIIDS (Extended Posters) 2018: 491-503 - [c138]Chee Keong Wee, Richi Nayak:
A Novel Database Exploitation Detection and Privilege Control System Using Data Mining. ACIIDS (Extended Posters) 2018: 505-516 - [c137]T. M. G. Tennakoon, Richi Nayak:
Discovering Influence Hierarchy Based on Frequent Social Interactions. ASONAM 2018: 575-576 - [c136]Md. Abul Bashar, Richi Nayak, Nicolas Suzor, Bridget Weir:
Misogynistic Tweet Detection: Modelling CNN with Small Datasets. AusDM 2018: 3-16 - [c135]Chee Keong Wee, Richi Nayak:
An Approach to Compress and Represents Time Series Data and Its Application in Electric Power Utilities. AusDM 2018: 107-120 - [c134]Hendi Lie, Darren Lukas, Jonathan Liebig, Richi Nayak:
A Novel Learning-to-Rank Method for Automated Camera Movement Control in E-Sports Spectating. AusDM 2018: 149-160 - [c133]Khanh Luong, Richi Nayak:
Learning Association Relationship and Accurate Geometric Structures for Multi-Type Relational Data. ICDE 2018: 509-520 - [c132]Balasubramaniam Thirunavukarasu, Richi Nayak, Chau Yuen:
Understanding Urban Spatio-Temporal Usage Patterns Using Matrix Tensor Factorization. ICDM Workshops 2018: 1497-1498 - [c131]Malmi Amadoru, Erwin Fielt, Marek Kowalkiewicz, Richi Nayak:
Organizing Visions in Online Social Networks: The Role of Community Heterogeneity and Real-time Engagement. ICIS 2018 - [c130]Wathsala Anupama Mohotti, Richi Nayak:
Corpus-Based Augmented Media Posts with Density-Based Clustering for Community Detection. ICTAI 2018: 379-386 - [c129]T. M. G. Tennakoon, Richi Nayak:
A Concise Social Network Representation with Flow Hierarchy Using Frequent Interactions. ICTAI 2018: 631-638 - [c128]Gaurangi Anand, Richi Nayak:
Contextual Anomaly Detection in Spatio-Temporal Data Using Locally Dense Regions. ICTAI 2018: 963-967 - [c127]Balasubramaniam Thirunavukarasu, Richi Nayak, Chau Yuen:
Nonnegative Coupled Matrix Tensor Factorization for Smart City Spatiotemporal Pattern Mining. LOD 2018: 520-532 - [c126]Wathsala Anupama Mohotti, Richi Nayak:
An Efficient Ranking-Centered Density-Based Document Clustering Method. PAKDD (3) 2018: 439-451 - [c125]Khanh Luong, Balasubramaniam Thirunavukarasu, Richi Nayak:
A Novel Technique of Using Coupled Matrix and Greedy Coordinate Descent for Multi-view Data Representation. WISE (2) 2018: 285-300 - 2017
- [c124]Alan Woodley, Timothy Chappell, Shlomo Geva, Richi Nayak:
Using web services to fuse remote sensing and multimedia data repositories. ACSW 2017: 54:1-54:8 - [c123]Billy Pik Lik Lau, Marakkalage Sumudu Hasala, Sanjana Kadaba Viswanath, Balasubramaniam Thirunavukarasu, Chau Yuen, Belinda Yuen, Richi Nayak:
Extracting point of interest and classifying environment for low sampling crowd sensing smartphone sensor data. PerCom Workshops 2017: 201-206 - [c122]Marakkalage Sumudu Hasala, Billy Pik Lik Lau, Sanjana Kadaba Viswanath, Balasubramaniam Thirunavukarasu, Chau Yuen, Belinda Yuen, Richi Nayak:
Identifying Points of Interest for Elderly in Singapore through Mobile Crowdsensing. SMARTGREENS 2017: 60-66 - [c121]Majid Seyfi, Richi Nayak, Yue Xu, Shlomo Geva:
Efficient mining of discriminative itemsets. WI 2017: 451-459 - [c120]Hendi Lie, Richi Nayak, Gordon F. Wyeth:
Spatial Information Recognition in Web Documents Using a Semi-supervised Machine Learning Method. WISE (1) 2017: 150-164 - [i3]Billy Pik Lik Lau, Marakkalage Sumudu Hasala, Sanjana Kadaba Viswanath, Balasubramaniam Thirunavukarasu, Chau Yuen, Belinda Yuen, Richi Nayak:
Extracting Point of Interest and Classifying Environment for Low Sampling Crowd Sensing Smartphone Sensor Data. CoRR abs/1701.03379 (2017) - 2016
- [c119]Alan Woodley, Ling-Xiang Tang, Shlomo Geva, Richi Nayak, Timothy Chappell:
Using parallel hierarchical clustering to address spatial big data challenges. IEEE BigData 2016: 2692-2698 - [c118]Alan Woodley, Timothy Chappell, Shlomo Geva, Richi Nayak:
Efficient Feature Selection and Nearest Neighbour Search for Hyperspectral Image Classification. DICTA 2016: 1-8 - [c117]Alan Woodley, Shlomo Geva, Richi Nayak, Timothy Chappell:
Introducing the Sky and the Social Eye. MediaEval 2016 - [c116]Michael Dorkhom, Alan Woodley, Shlomo Geva, Richi Nayak:
WIMBY: What's in My Backyard? ACM Multimedia 2016: 714-716 - [c115]Noor Ifada, Richi Nayak:
How Relevant is the Irrelevant Data: Leveraging the Tagging Data for a Learning-to-Rank Model. WSDM 2016: 23-32 - 2015
- [j18]Lin Chen, Kirsten Vallmuur, Richi Nayak:
Injury narrative text classification using factorization model. BMC Medical Informatics Decis. Mak. 15(S-1): S5 (2015) - [c114]Jun Hou, Ruth Schulz, Gordon F. Wyeth, Richi Nayak:
Finding Within-Organisation Spatial Information on the Web. Australasian Conference on Artificial Intelligence 2015: 242-248 - [c113]Sharon Torao-Pingi, Richi Nayak:
Understanding People Relationship: Analysis of Digitised Historical Newspaper Articles. Australasian Conference on Artificial Intelligence 2015: 572-588 - [c112]Jun Hou, Richi Nayak:
Robust clustering of multi-type relational data via a heterogeneous manifold ensemble. ICDE 2015: 615-626 - [c111]Noor Ifada, Richi Nayak:
Do-Rank: DCG Optimization for Learning-to-Rank in Tag-Based Item Recommendation Systems. PAKDD (2) 2015: 510-521 - [c110]Israt Jahan Chowdhury, Richi Nayak:
FreeS: A Fast Algorithm to Discover Frequent Free Subtrees Using a Novel Canonical Form. WISE (1) 2015: 123-137 - [c109]Taufik Sutanto, Richi Nayak:
Semi-supervised Document Clustering via Loci. WISE (2) 2015: 208-215 - [c108]Christopher Michael De Vries, Lance De Vine, Shlomo Geva, Richi Nayak:
Parallel Streaming Signature EM-tree: A Clustering Algorithm for Web Scale Applications. WWW 2015: 216-226 - [i2]Christopher M. De Vries, Lance De Vine, Shlomo Geva, Richi Nayak:
Parallel Streaming Signature EM-tree: A Clustering Algorithm for Web Scale Applications. CoRR abs/1505.05613 (2015) - 2014
- [j17]Sangeetha Kutty, Richi Nayak, Lin Chen:
A people-to-people matching system using graph mining techniques. World Wide Web 17(3): 311-349 (2014) - [c107]Yeshey Peden, Richi Nayak:
Detecting Digital Newspaper Duplicates with Focus on eliminating OCR errors. AusDM 2014: 43-49 - [c106]Israt Jahan Chowdhury, Richi Nayak:
Identifying Product Families Using Data Mining Techniques in Manufacturing Paradigm. AusDM 2014: 113-120 - [c105]Gavin Shaw, Richi Nayak:
A Case Study of Utilising Concept Knowledge in a Topic Specific Document Collection. AusDM 2014: 149-156 - [c104]Noor Ifada, Richi Nayak:
An Efficient Tagging Data Interpretation and Representation Scheme for Item Recommendation. AusDM 2014: 205-215 - [c103]Lin Chen, Kirsten Vallmuur, Richi Nayak:
Injury Narrative Text Classification: A Preliminary Study. DTMBIO@CIKM 2014: 7 - [c102]Richi Nayak, Rachel Mills, Christopher M. De Vries, Shlomo Geva:
Clustering and Labeling a Web Scale Document Collection using Wikipedia clusters. Web-KRM@CIKM 2014: 23-30 - [c101]Richi Nayak:
Two-way Recommendation Methods for Social Networks. PIKM@CIKM 2014: 33-34 - [c100]Taufik Sutanto, Richi Nayak:
The Ranking Based Constrained Document Clustering Method and Its Application to Social Event Detection. DASFAA (2) 2014: 47-60 - [c99]Taufik Sutanto, Richi Nayak:
Ranking Based Clustering for Social Event Detection. MediaEval 2014 - [c98]Israt Jahan Chowdhury, Richi Nayak:
BEST: An Efficient Algorithm for Mining Frequent Unordered Embedded Subtrees. PRICAI 2014: 459-471 - [c97]Noor Ifada, Richi Nayak:
A Two-Stage Item Recommendation Method Using Probabilistic Ranking with Reconstructed Tensor Model. UMAP 2014: 98-110 - [c96]Majid Seyfi, Shlomo Geva, Richi Nayak:
Mining Discriminative Itemsets in Data Streams. WISE (1) 2014: 125-134 - [c95]Israt Jahan Chowdhury, Richi Nayak:
BOSTER: An Efficient Algorithm for Mining Frequent Unordered Induced Subtrees. WISE (1) 2014: 146-155 - [c94]Noor Ifada, Richi Nayak:
Tensor-based item recommendation using probabilistic ranking in social tagging systems. WWW (Companion Volume) 2014: 805-810 - 2013
- [j16]Majid Seyfi, Rakesh Rawat, Justin Weligamage, Richi Nayak:
A data analytics case study assessing factors affecting pavement deflection values. Int. J. Bus. Intell. Data Min. 8(3): 199-226 (2013) - [c93]Reza Hassanzadeh, Richi Nayak:
A Rule-Based Hybrid Method for Anomaly Detection in Online-Social-Network Graphs. ICTAI 2013: 351-357 - [c92]Daniel Emerson, Justin Weligamage, Richi Nayak:
A data mining driven risk profiling method for road asset management. KDD 2013: 1267-1275 - [c91]Taufik Sutanto, Richi Nayak:
ADMRG @ MediaEval 2013 Social Event Detection. MediaEval 2013 - [c90]Lin Chen, Richi Nayak, Sangeetha Kutty, Yue Xu:
Users segmentations for recommendation. SAC 2013: 279-280 - [c89]Reza Hassanzadeh, Richi Nayak:
A semi-supervised graph-based algorithm for detecting outliers in online-social-networks. SAC 2013: 577-582 - [c88]Lin Chen, Richi Nayak:
A Recommendation Approach Dealing with Multiple Market Segments. Web Intelligence 2013: 89-94 - [c87]