Industrial Conference on Data Mining - Posters - researchr conference series publications

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 100 from 789

2021

Machine Learning and Deep Learning Methods used in Safety Management of Nuclear Power Plants: A SurveyYong Shi 0001, Xiaodong Xue, Yi Qu, Jiayu Xue, Linzi Zhang. incdm 2021: 917-924 [doi]

Empirical Quantitative Analysis of COVID-19 Forecasting ModelsYun Zhao 0001, Yuqing Wang, Junfeng Liu, Haotian Xia, Zhenni Xu, Qinghang Hong, Zhiyang Zhou, Linda R. Petzold. incdm 2021: 517-526 [doi]

Sentiment Analysis Using Part-of-Speech-Based Feature Extraction and Game-Theoretic Rough SetsYixing Chen 0002, JingTao Yao 0001. incdm 2021: 110-117 [doi]

Unsupervised graph-clustering learning framework for financial news summarizationJun Wang 0089, Jinghua Tan, Hanlei Jin, Shuo Qi. incdm 2021: 719-726 [doi]

A Knowledge-aware and Time-sensitive Financial News Recommendation System Based on Firm Relation DerivationJun Wang 0089, Jinghua Tan, Jiujiu Chen, Hanlei Jin. incdm 2021: 1104-1111 [doi]

2021 International Conference on Data Mining, ICDM 2021 - Workshops, Auckland, New Zealand, December 7-10, 2021IEEE, 2021. [doi]

Metagenome2Vec: Building Contextualized Representations for Scalable Metagenome AnalysisSathyanarayanan N. Aakur, Vineela Indla, Vennela Indla, Sai Narayanan, Arunkumar Bagavathi, Vishalini Laguduva Ramnath, Akhilesh Ramachandran. incdm 2021: 500-507 [doi]

Prediction Diagnostics - Addressing data veracity in predicting batch processesParag Agrawal, Priyadarshi, Vikrant Shimpi, Neha Behl, Deepa Vaidyanathan, Maitreya Natu. incdm 2021: 201-207 [doi]

Mining High Utility SubgraphsMd. Tanvir Alam, Amit Roy, Chowdhury Farhan Ahmed, Md. Ashraful Islam 0001, Carson K. Leung. incdm 2021: 566-573 [doi]

Passenger flow forecasting on transportation network: sensitivity analysis of the spatiotemporal featuresJohanna Baro, Mostepha Khouadjia. incdm 2021: 734-741 [doi]

LUCKe - Connecting Clustering and Correlation ClusteringAnna Beer, Lisa Stephan, Thomas Seidl 0001. incdm 2021: 431-440 [doi]

Deep Reinforcement Learning Task for Portfolio ConstructionBoris Belyakov, Dmitry Sizykh. incdm 2021: 1077-1082 [doi]

IEBench: Benchmarking Streaming Learners on Imbalanced Evolving Data StreamsAlessio Bernardo, Giacomo Ziffer, Emanuele Della Valle. incdm 2021: 331-340 [doi]

Implicit Hough Transform Neural Networks for Subspace ClusteringJulian Busch, Maximilian Hünemörder, Janis Held, Peer Kröger, Thomas Seidl 0001. incdm 2021: 441-448 [doi]

SSPF: a Simple and Scalable Parameter Free Clustering MethodXingyu Cai, Yuchen Bian, Jiaji Huang, Boxiang Liu, Jiahong Yuan, Kenneth Church 0001. incdm 2021: 659-668 [doi]

Fake Reviewer Group Detection in Online Review SystemsChen Cao, Shihao Li, Shuo Yu, Zhikui Chen. incdm 2021: 935-942 [doi]

A fast sorting-based aggregation method for symbolic time series representationXinye Chen, Stefan Güttel. incdm 2021: 1009-1016 [doi]

Incorporating Adjacent User Modeling into Session-based Recommendation with Graph Neural NetworksMinghao Chen, Jiale Zheng. incdm 2021: 1-9 [doi]

A real-time platform for contextualized conspiracy theory analysisDavid Chong, Erl Lee, Matthew Fan, Pavan Holur, Shadi Shahsavari, Timothy R. Tangherlini, Vwani Roychowdhury. incdm 2021: 118-127 [doi]

A Human-in-the-Loop Approach based on Explainability to Improve NTL DetectionBernat Coma-Puig, Josep Carmona 0001. incdm 2021: 943-950 [doi]

Versatile feature learning with graph convolutions and graph structuresGuojing Cong, Seung-Hwan Lim. incdm 2021: 669-677 [doi]

Simplify Your Law: Using Information Theory to Deduplicate Legal DocumentsCorinna Coupette, Jyotsna Singh, Holger Spamann. incdm 2021: 631-638 [doi]

Sequential Item Recommendation in the MOBA Game Dota 2Alexander Dallmann, Johannes Kohlmann, Daniel Zoller, Andreas Hotho. incdm 2021: 10-17 [doi]

Instance selection for multi-label learning based on a scalable evolutionary algorithmJuan Antonio Romero del Castillo, Domingo Ortiz-Boyer, Nicolás García-Pedrajas. incdm 2021: 843-851 [doi]

On the Unreasonable Efficiency of State Space Clustering in Personalization TasksAnton Dereventsov, Ranga Raju Vatsavai, Clayton G. Webster. incdm 2021: 742-749 [doi]

Deriving Spatio-temporal Trajectory Fingerprints from Mobility Data using Non-Negative Matrix FactorisationMichiel Dhont, Elena Tsiporkova, Nicolás González-Deleito. incdm 2021: 750-759 [doi]

Sparse Subspace K-meansAbdoul Wahab Diallo, Ndèye Niang, Mory Ouattara. incdm 2021: 678-685 [doi]

Disjoint-CNN for Multivariate Time Series ClassificationSeyed Navid Mohammadi Foumani, Chang Wei Tan, Mahsa Salehi. incdm 2021: 760-769 [doi]

Application of Machine Learning for Growth Environment Prediction in AgricultureMomoko Fujita, Akari Yamada, Mao Susuki, Hiroya Makino, Eisuke Kita. incdm 2021: 208-213 [doi]

ReTriM: Reconstructive Triplet Loss for Learning Reduced Embeddings for Multi-Variate Time SeriesYash Garg. incdm 2021: 460-465 [doi]

Deep Neural Language-agnostic Multi-task Text ClassifierKarol Gawron, Michal Pogoda, Norbert Ropiak, Michal Swedrowski, Jan Kocon. incdm 2021: 136-142 [doi]

A data-driven approach to predict hourly bill rates for US contingent workersGiuliano Giuliani, Fabrizio Giuliani, Summer M. Husband. incdm 2021: 214-221 [doi]

Drift Lens: Real-time unsupervised Concept Drift detection by evaluating per-label embedding distributionsSalvatore Greco, Tania Cerquitelli. incdm 2021: 341-349 [doi]

Feature Selection for Multivariate Time Series via Network PruningKang Gu, Soroush Vosoughi, Temiloluwa Prioleau. incdm 2021: 1017-1024 [doi]

Deep Embedded K-Means ClusteringWengang Guo, Kaiyan Lin, Wei Ye. incdm 2021: 686-694 [doi]

Time Series Ordinal Regression for Supporting the Storage of Temperature Sensitive Medication in Domestic RefrigeratorsAli Hammadeh, Amin Zayani, Andreas W. Kempa-Liehr. incdm 2021: 1025-1031 [doi]

Self-Supervised Source Code Annotation from Related Research PapersPierre Haritz, Lukas Pfahler, Thomas Liebig, Helena Kotthaus. incdm 2021: 1083-1084 [doi]

An Empirical Evaluation of Time-Series Feature SetsTrent Henderson, Ben D. Fulcher. incdm 2021: 1032-1038 [doi]

Functional Foot Segmentation Based on Plantar Pressure Measurements for Profiling Subjects Performing a Running ExercisePeter Van Hese, Henrique Cabral, Wouter Aerts, Elena Tsiporkova. incdm 2021: 770-777 [doi]

A Gamified Approach To Automatically Detect Biased Wording And Train Critical ReadingSmilla Hinterreiter. incdm 2021: 1085-1086 [doi]

Mixture Gaussian Prototypes for Few-Shot LearningRuijin Jiang, Zhaohui Cheng. incdm 2021: 902-908 [doi]

Overview of Optimization Algorithms for Large-scale Support Vector MachinesXuchan Ju, Zhenghao Yan, Tianhe Wang. incdm 2021: 909-916 [doi]

A Time-series Analysis of How Google Trends Searches Affect Cryptocurrency Prices for Decentralized Finance and Non-Fungible TokensYuta Kaneko. incdm 2021: 222-227 [doi]

A probabilistic perspective on nearest neighbor for implicit recommendationDomokos M. Kelen, András A. Benczúr. incdm 2021: 27-35 [doi]

Intent-based Product Collections for E-commerce using Pretrained Language ModelsHiun Kim, Jisu Jeong, Kyung Min Kim, Dongjun Lee, Hyun-Dong Lee, Dongpil Seo, Jeeseung Han, Dong Wook Park, Ji Ae Heo, Rak Yeong Kim. incdm 2021: 228-237 [doi]

DynaPosGNN: Dynamic-Positional GNN for Next POI RecommendationJunbeom Kim, Sihyun Jeong, Goeon Park, Kihoon Cha, Ilhyun Suh, Byungkook Oh. incdm 2021: 36-44 [doi]

AspectEmo: Multi-Domain Corpus of Consumer Reviews for Aspect-Based Sentiment AnalysisJan Kocon, Jarema Radom, Ewa Kaczmarz-Wawryk, Kamil Wabnic, Ada Zajaczkowska, Monika Zasko-Zielinska. incdm 2021: 166-173 [doi]

CoBERT: Scientific Collaboration Prediction via Sequential RecommendationTobias Koopmann, Konstantin Kobs, Konstantin Herud, Andreas Hotho. incdm 2021: 45-54 [doi]

Evaluating Time Series Predictability via Transition Graph AnalysisAnton Kovantsev, Petr Chunaev, Klavdiya Bochenina. incdm 2021: 1039-1046 [doi]

Personalized Neural Architecture SearchCedric Kulbach, Steffen Thoma. incdm 2021: 581-590 [doi]

EnsembleNTLDetect: An Intelligent Framework for Electricity Theft Detection in Smart GridYogesh Kulkarni, Sayf Hussain Z, Krithi Ramamritham, Nivethitha Somu. incdm 2021: 527-536 [doi]

Detection of Similar Legal Cases on Personal InjuryJason T. Lam, Yuhao Chen, Farhana H. Zulkernine, Samuel Dahan. incdm 2021: 639-646 [doi]

Early Detection of Atmospheric Turbulence for Civil Aircraft: A Data Driven ApproachTianyi Li, Philippe Goupil, Josiane Mothe, Olivier Teste. incdm 2021: 1087-1093 [doi]

Temporal Graph Representation Learning for Detecting Anomalies in E-payment SystemsYiming Li, Da Sun Handason Tam, Siyue Xie, Xiaxin Liu, Qiufang Ying, Wing Cheong Lau, Dah-Ming Chiu, Shou Zhi Chen. incdm 2021: 983-990 [doi]

Comparison of Variant Principal Component Analysis Using New RNN-based Framework for Stock PredictionShuyan Liu, Yue Chen. incdm 2021: 1047-1056 [doi]

OAB - An Open Anomaly Benchmark Framework for Unsupervised and Semisupervised Anomaly Detection on Image and Tabular Data SetsAndreas Lohrer, Jan Deller, Maximilian Hünemörder, Peer Kröger. incdm 2021: 991-1000 [doi]

Stochastic Schemata Exploiter-Based AutoMLHiroya Makino, Eisuke Kita. incdm 2021: 238-245 [doi]

Confident Collaborative Metric LearningRyo Matsui, Taketo Naito, Suguru Yaginuma, Kazuhide Nakata. incdm 2021: 246-253 [doi]

Shedding Light in the Tunnel: Counting Flows in Encrypted Network TrafficFares Meghdouri, Félix Iglesias Vázquez, Tanja Zseby. incdm 2021: 798-804 [doi]

Determining Standard Occupational Classification Codes from Job Descriptions in Immigration PetitionsSourav Mukherjee, David Widmark, Vince DiMascio, Tim Oates. incdm 2021: 647-652 [doi]

Anomaly Detection for Multivariate Time Series on Large-scale Fluid Handling Plant Using Two-stage AutoencoderSusumu Naito, Yasunori Taguchi, Kouta Nakata, Yuichi Kato. incdm 2021: 542-551 [doi]

Convolutional Variational Autoencoders for Image ClusteringIoannis A. Nellas, Sotiris K. Tasoulis, Vassilis P. Plagianakos. incdm 2021: 695-702 [doi]

Multi-channel Convolution Neural Network for Gas Mixture ClassificationYongKyung Oh, Sungil Kim. incdm 2021: 1094-1095 [doi]

Towards Dynamic Structure Changes Detection in Financial Series via Causal AnalysisPatrick Owusu, Armelle Brun, Shengrui Wang. incdm 2021: 552-557 [doi]

Forecasting of Reservoir Inflow by the Combination of Deep Learning and Conventional Machine LearningTopon Kumar Paul, Sreeharsha Raghavendra, Ken Ueno, Fang Ni, Hiromasa Shin, Kaneharu Nishino, Ryusei Shingaki. incdm 2021: 558-565 [doi]

Accelerating Density-Based Subspace Clustering in High-Dimensional DataJürgen Prinzbach, Tobias Lauer, Nicolas Kiefer. incdm 2021: 474-481 [doi]

Static Analysis for Android Malware detection with Document VectorsUtkarsh Raghav, Elisa Martínez Marroquín, Wanli Ma. incdm 2021: 805-812 [doi]

Legitimacy: An Ensemble Learning Model for Credibility Based Fake News DetectionAmit Neil Ramkissoon, Wayne Goodridge. incdm 2021: 254-261 [doi]

Model-based Poisson co-clustering for Attributed NetworksPaul Riverain, Simon Fossier, Mohamed Nadif. incdm 2021: 703-710 [doi]

Analyzing the Bad-Words in tweets of Twitter users to discover the Mental Health Happiness Index and Feel-Good-FactorsSudha Tushara Sadasivuni, Yanqing Zhang. incdm 2021: 882-888 [doi]

Contextualized Embedding based Approaches for Social Media-specific Sentiment AnalysisHarsh Sakhrani, Saloni Parekh, Pratik Ratadiya. incdm 2021: 186-193 [doi]

Transformer-based Hierarchical Encoder for Document ClassificationHarsh Sakhrani, Saloni Parekh, Pratik Ratadiya. incdm 2021: 852-858 [doi]

Accelerating Active Learning Image Labeling Through Bulk Shift RecommendationsPhilipp Scharpf, Chi Lap Hong, Oliver Duerr. incdm 2021: 398-404 [doi]

Attention Augmented Convolutional Transformer for Tabular Time-seriesSharath M. Shankaranarayana, Davor Runje. incdm 2021: 537-541 [doi]

Data Mining on Extremely Long Time-SeriesScott Simmons, Louis Jarvis, David Dempsey, Andreas W. Kempa-Liehr. incdm 2021: 1057-1066 [doi]

Legal Entity Extraction using a Pointer Generator NetworkStavroula Skylaki, Ali Oskooei, Omar Bari, Nadja Herger, Zac Kriegman. incdm 2021: 653-658 [doi]

An Interdisciplinary Approach for the Automated Detection and Visualization of Media Bias in News ArticlesTimo Spinde. incdm 2021: 1096-1103 [doi]

Application of Fractal Analysis for Customer Classification Based on Path DataFengmei Sun, Licheng Zhao, Yi Zuo, Yuta Kaneko. incdm 2021: 262-267 [doi]

Data-Driven Divide-and-Conquer for Estimating Build Times of 3D ObjectsMahdi Tabassian, Robbert Verbeke, Tom Tourwé, Elena Tsiporkova. incdm 2021: 268-277 [doi]

Graph Representation Learning with Adaptive MixturesDa Sun Handason Tam, Siyue Xie, Wing Cheong Lau. incdm 2021: 711-718 [doi]

A Fully Unsupervised and Efficient Anomaly Detection Approach with Drift Detection CapabilityChang How Tan, Vincent C. S. Lee, Mahsa Salehi, Slaven Marusic, Srimal Jayawardena, Dion Lucke. incdm 2021: 312-321 [doi]

Neural Architecture Search and Multi-Objective Evolutionary Algorithms for Anomaly DetectionChakkrit Termritthikun, Lin Xu, Yemeng Liu, Ivan Lee. incdm 2021: 1001-1008 [doi]

Random Projection Through the Lens of Data Complexity IndicatorsYamonporn Thummanusarn, Ata Kabán. incdm 2021: 482-489 [doi]

Faster classification using compression analyticsChristina Ting, Nicholas Johnson, Uzoma Onunkwo, J. Derek Tucker. incdm 2021: 813-822 [doi]

A Unified Framework to Discover Partial Periodic-Frequent Patterns in Row and Columnar Temporal DatabasesPamalla Veena, So Nakamura, Palla Likhitha, R. Uday Kiran, Yutaka Watanobe, Koji Zettsu. incdm 2021: 607-614 [doi]

Multi-Label kNN classifier with Online Dual Memory on data streamXihui Wang, Pascale Kuntz, Frank Meyer, Vincent Lemaire 0001. incdm 2021: 405-413 [doi]

The Vehicle Routing Problem with Time Windows and Time CostsZhao Wang, Yuusuke Nakano, Ken Nishimatsu. incdm 2021: 278-287 [doi]

Optimal Segmented Linear Regression for Financial Time Series SegmentationChi-Jen Wu, Wei-Sheng Zeng, Jan-Ming Ho. incdm 2021: 623-630 [doi]

STONE: Signal Temporal Logic Neural Network for Time Series ClassificationRuixuan Yan, Agung Julius, Maria Chang, Achille Fokoue, Tengfei Ma 0001, Rosario Uceda-Sosa. incdm 2021: 778-787 [doi]

Online Partisan Polarization of COVID-19Zachary Yang, Anne Imouza, Kellin Pelrine, Sacha Levy, Jiewen Liu, Gabrielle Desrosiers-Brisebois, Jean-François Godbout, André Blais, Reihaneh Rabbany. incdm 2021: 893-901 [doi]

Causal structure learning of nonlinear additive noise model based on streaming featureJing Yang, Gaojin Fan, Anbo Shen, Aiguo Wang. incdm 2021: 490-499 [doi]

Multimodal Machine Learning for 30-Days Post-Operative Mortality Prediction of Elderly Hip Fracture PatientsBerk Yenidogan, Shreyasi Pathak, Jeroen Geerdink, Johannes H. Hegeman, Maurice van Keulen. incdm 2021: 508-516 [doi]

Feature Selection on a Flare Forecasting Testbed: A Comparative Study of 24 MethodsAtharv Yeolekar, Sagar Patel, Shreejaa Talla, Krishna Rukmini Puthucode, Azim Ahmadzadeh, Viacheslav M. Sadykov, Rafal A. Angryk. incdm 2021: 1067-1076 [doi]

Embedding Normalization: Significance Preserving Feature Normalization for Click-Through Rate PredictionJoonyoung Yi, Beomsu Kim, Buru Chang. incdm 2021: 75-84 [doi]

SCORER-Gap: Sequentially Correlated Rules for Event Recommendation Considering Gap SizeLudwig Zellner, Janina Sontheim, Florian Richter 0001, Gabriel Lindner, Thomas Seidl 0001. incdm 2021: 925-934 [doi]

Challenging the Long Tail Recommendation on Heterogeneous Information NetworkChuanyan Zhang, Xiaoguang Hong. incdm 2021: 94-101 [doi]

Modelling Context with Graph Convolutional Networks for Aspect-based Sentiment AnalysisMaoyuan Zhang, Jieqiong Zhang, Lisha Liu. incdm 2021: 194-200 [doi]

ContentHE: Content-enhanced Network Embedding for Hashtag RepresentationShaoliang Zhang, Xuefeng Liu 0001, Jianwei Niu 0002, Huiyong Li. incdm 2021: 102-109 [doi]

Application of LSTM Models to Predict In-store Trajectory of CustomersWeizheng Zhao, Yi Zuo, Licheng Zhao, Junhao Jiang. incdm 2021: 288-294 [doi]

Few-Shot Class-Incremental Learning with Meta-Learned Class StructuresGuangtao Zheng, Aidong Zhang. incdm 2021: 421-430 [doi]

Links

Filter by Year
OR AND NOT 1

Filter by Tag

[+]
OR AND NOT 1

Filter by Author

[+]
OR AND NOT 1

Filter by Top terms

[+]
OR AND NOT 1

Industrial Conference on Data Mining - Posters (incdm)

Viewing Publication 1 - 100 from 789

2021

Links

Filter by YearOR AND NOT 1

Filter by Tag [+]OR AND NOT 1

Filter by Author [+]OR AND NOT 1

Filter by Top terms [+]OR AND NOT 1

Industrial Conference on Data Mining - Posters (incdm)

Viewing Publication 1 - 100 from 789

2021

Filter by Year
OR AND NOT 1

Filter by Tag

[+]
OR AND NOT 1

Filter by Author

[+]
OR AND NOT 1

Filter by Top terms

[+]
OR AND NOT 1