M. Dash

发表

Feature selection for clustering - a filter solution

Huan Liu, Peter Scheuermann, Manoranjan Dash, 2002, 2002 IEEE International Conference on Data Mining, 2002. Proceedings..

Active Feature Selection Using Classes

Huan Liu, Lei Yu, Hiroshi Motoda, 2003, PAKDD.

Determinants of CustomersÃ¢ÂÂ Adoption of Mobile Banking:An Empirical Study by Integrating Diffusion of Innovation withAttitude

M. Dash, P. B. Bhusan, Snigdha Samal, 2014 .

A study on factors influencing training effectiveness

M. Dash, Subhankar Das, M. Dash, 2019 .

Efficient Parallel Hierarchical Clustering

Peter Scheuermann, Manoranjan Dash, Simona Petrutiu, 2004, Euro-Par.

Feature selection via set cover

M. Dash, M. Dash, 1997, Proceedings 1997 IEEE Knowledge and Data Engineering Exchange Workshop.

PROMETHEE-Based Analysis of HCWM Challenges in Healthcare Sector of Odisha

M. Dash, K. Muduli, D. Yadav, 2018 .

Prescription Basket Analysis: Identifying Association Rule Among Drugs in Prescription of Dentist in Bhubaneswar City

M. Dash, Sroojani Mohanty, Preeti Y. Shadangi, 2019, Advances in Intelligent Systems and Computing.

Suberin Biopolymer in Rice Root Exodermis Reinforces Preformed Barrier Against Meloidogyne graminicola Infection

M. Dash, T. N. Shivakumara, Tushar K. Dutta, 2021 .

Fully Temporal Relation

Alin Deutsch, Magdalena Balazinska, Jeong-Hyon Hwang, 2009, Encyclopedia of Database Systems.

Socioepidemiological status and clinical outcome of MDR TB patients in a tertiary medical college in Southern Odisha

M. Dash, B. Behera, B. P. Behera, 2022, Journal of family medicine and primary care.

ANTI TUBERCULAR DRUGS INDUCED HEPATOTOXICITY IN A NEW TERTIARY CARE HOSPITAL OF A TRIBAL DISTRICT OF ODISHA

M. Dash, B. Behera, M. Naik, 2021, International Journal of Pharmacy and Pharmaceutical Sciences.

AN EXPLORATORY STUDY ON EFFECTS OF SERVICE QUALITY ON TECHNICAL EDUCATION IN THE INDIAN CONTEXT

M. Dash, J. Das, Manoranjan Puthal, 2018 .

AN OBSERVATIONAL STUDY OF CLINICAL AND HEMATOLOGICAL PROFILE OF CIRRHOSIS OF LIVER

M. Dash, B. Behera, B. P. Behera, 2020, Asian Journal of Pharmaceutical and Clinical Research.

SYMBIOSIS OF E-CRM IMPLEMENTATION AND CHANGE MANAGEMENT

M. Dash, K. Sahoo, Ratikanta Biswal, 2011 .

Handling Large Unsupervised Data via Dimensionality Reduction

Huan Liu, Manoranjan Dash, Huan Liu, 1999, 1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery.

Exploring behavioural bias affecting investment decision-making: a network cluster based conceptual analysis for future research

S. Luthra, M. Dash, K. Muduli, 2022, International Journal of Industrial Engineering and Operations Management.

A rice root-knot nematode Meloidogyne graminicola-resistant mutant rice line shows early expression of plant-defence genes

M. Dash, U. Rao, R. Budhwar, 2021, Planta.

Feature Selection for Classification

Huan Liu, Manoranjan Dash, Huan Liu, 1997, Intell. Data Anal..

An improved draft genome assembly of Meloidogyne graminicola IARI strain using long-read sequencing.

R. Schlapbach, M. Dash, U. Rao, 2021, Gene.

Dimensionality Reduction

Huan Liu, Manoranjan Dash, Huan Liu, 2008, Wiley Encyclopedia of Computer Science and Engineering.

Expression of various odorant-response defective (odr) genes in the entomopathogenic nematode Heterorhabditis bacteriophora (Nematoda: Heterorhabditidae)

M. Dash, U. Rao, V. Phani, 2020 .

Efficient Hierarchical Clustering Algorithms Using Partially Overlapping Partitions

Huan Liu, Manoranjan Dash, Huan Liu, 2001, PAKDD.

Mining in Large Noisy Domains

Manoranjan Dash, Ayush Singhania, M. Dash, 2009, JDIQ.

Efficient sampling of training set in large and noisy multimedia data

Min Xu, Liang-Tien Chia, Manoranjan Dash, 2007, TOMCCAP.

Efficient data reduction in multimedia data

Min Xu, Liang-Tien Chia, Manoranjan Dash, 2006, Applied Intelligence.

Distance Based Feature Selection for Clustering Microarray Data

Manoranjan Dash, Vivekanand Gopalkrishnan, V. Gopalkrishnan, 2008, DASFAA.

Discovery of Frequent Patterns in Transactional Data Streams

Willie Ng, Manoranjan Dash, M. Dash, 2010, Trans. Large Scale Data Knowl. Centered Syst..

A change detector for mining frequent patterns over evolving data streams

Manoranjan Dash, Willie Ng, M. Dash, 2008, 2008 IEEE International Conference on Systems, Man and Cybernetics.

A Test Paradigm for Detecting Changes in Transactional Data Streams

Manoranjan Dash, Willie Ng, M. Dash, 2008, DASFAA.

Consistency-based search in feature selection

Huan Liu, Manoranjan Dash, Huan Liu, 2003, Artif. Intell..

Hybrid Search of Feature Subsets

Huan Liu, Manoranjan Dash, Huan Liu, 1998, PRICAI.

Discretization: An Enabling Technique

Huan Liu, Chew Lim Tan, Manoranjan Dash, 2002, Data Mining and Knowledge Discovery.

A Monotonic Measure for Optimal Feature Selection

Huan Liu, Hiroshi Motoda, Manoranjan Dash, 1998, ECML.

Markov blanket-embedded genetic algorithm for gene selection

Zexuan Zhu, Manoranjan Dash, Yew-Soon Ong, 2007, Pattern Recognit..

Entropy-based fuzzy clustering and fuzzy modeling

Manoranjan Dash, Hua Liu, J. Yao, 2000, Fuzzy Sets Syst..

Dimensionality reduction of unsupervised data

Manoranjan Dash, Hua Liu, J. Yao, 1997, Proceedings Ninth IEEE International Conference on Tools with Artificial Intelligence.

Unsupervised Feature Ranking and Selection

Huan Liu, Jun Yao, Manoranjan Dash, 2002 .

pPOP: Fast yet accurate parallel hierarchical clustering using partitioning

Peter Scheuermann, Manoranjan Dash, Simona Petrutiu, 2007, Data Knowl. Eng..

Heron Inference for Bayesian Graphical Models pdf

Gao Cong, Manoranjan Dash, Zhen Hai, 2018, ArXiv.

Consistency Based Feature Selection

Huan Liu, Hiroshi Motoda, Manoranjan Dash, 2000, PAKDD.

Wrapper–Filter Feature Selection Algorithm Using a Memetic Framework

Zexuan Zhu, Manoranjan Dash, Yew-Soon Ong, 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Hadoop based Dynamic Data Replication Strategies using Cloud Computing

M. Dash, M. V., P. Veeramanikandan, 2021, 2021 Second International Conference on Electronics and Sustainable Communication Systems (ICESC).

RNAi-mediated disruption of neuropeptide genes, nlp-3 and nlp-12, cause multiple behavioral defects in Meloidogyne incognita.

M. Dash, T. N. Shivakumara, Tushar K. Dutta, 2017, Biochemical and biophysical research communications.

Feature Selection for Clustering

Huan Liu, Manoranjan Dash, M. Dash, 2000, Encyclopedia of Database Systems.

Does cognitive biased knowledge influence investor decisions? An empirical investigation using machine learning and artificial neural network

S. Luthra, M. Dash, K. Muduli, 2023, VINE Journal of Information and Knowledge Management Systems.

PsLSNet: Automated psoriasis skin lesion segmentation using modified U-Net-based fully convolutional network

Manoranjan Dash, Narendra D. Londhe, Rajendra S. Sonawane, 2019, Biomed. Signal Process. Control..

Fast hierarchical clustering and its validation

Kian-Lee Tan, Huan Liu, Peter Scheuermann, 2003, Data Knowl. Eng..

Fact-Oriented Modeling

Alin Deutsch, Magdalena Balazinska, Jeong-Hyon Hwang, 2009, Encyclopedia of Database Systems.

A cascaded deep convolution neural network based CADx system for psoriasis lesion segmentation and severity assessment

Subhojit Ghosh, Narendra D. Londhe, Rajendra S. Sonawane, 2020, Appl. Soft Comput..

RELIEF-C: Efficient Feature Selection for Clustering over Noisy Data

Manoranjan Dash, Yew-Soon Ong, Y. Ong, 2011, 2011 IEEE 23rd International Conference on Tools with Artificial Intelligence.

Efficient cross validation over skewed noisy data

Manoranjan Dash, Oh Yin Hao, M. Dash, 2008, 2008 IEEE International Conference on Systems, Man and Cybernetics.

An Evaluation of Progressive Sampling for Imbalanced Data Sets

Manoranjan Dash, Willie Ng, M. Dash, 2006, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06).

A comparison between approximate counting and sampling methods for frequent pattern mining on data streams

Manoranjan Dash, Willie Ng, M. Dash, 2010, Intell. Data Anal..

'1+1>2': merging distance and density based clustering

Huan Liu, Manoranjan Dash, X. Xu, 2001, Proceedings Seventh International Conference on Database Systems for Advanced Applications. DASFAA 2001.

Merging Distance and Density Based Clustering

Huan Liu, Manoranjan Dash, Xiaowei Xu, 2001 .

Sentiment Analysis of Bangla Song Review- A Lexicon Based Backtracking Approach

Narayan Ranjan Chakraborty, Tapasy Rabeya, Sanjida Ferdous, 2019, 2019 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT).

Exploring Genomic Variations in Nematode-Resistant Mutant Rice Lines

M. Dash, R. Sreevathsa, U. Rao, 2022, Frontiers in Plant Science.

Thyroid profile in pulmonary tuberculosis patients: a prospective study in a tertiary medical college of southern Odisha

M. Dash, R. Sen, B. P. Behera, 2020 .

Parallel Computations for Hierarchical Agglomerative Clustering using CUDA Fast and Scalable Computations on Graphics Processors

Manoranjan Dash, S. A. Arul Shalom, M. Dash, 2014 .

Efficient K-Means Clustering Using Accelerated Graphics Processors

Manoranjan Dash, Minh Tue, S. A. Arul Shalom, 2008, DaWaK.

Automated Tracing of Retinal Blood Vessels Using Graphical Models

Cheng Li, Huiqi Li, Manoranjan Dash, 2013, SCIA.

Efficient Reservoir Sampling for Transactional Data Streams

Manoranjan Dash, Willie Ng, M. Dash, 2006, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06).

Efficient Sampling: Application to Image Data

Liang-Tien Chia, Manoranjan Dash, Surong Wang, 2005, PAKDD.

Efficient Data-Reduction Methods for On-line Association Rule Discovery

Bin Chen, Peter J. Haas, Peter Scheuermann, 2004 .

Efficient data reduction with EASE

Bin Chen, Peter J. Haas, Peter Scheuermann, 2003, KDD '03.

Biclustering: An application of Dual Topic Models

Shonali Krishnaswamy, Gao Cong, Manoranjan Dash, 2017, SDM.

Two Way Focused Classification

Manoranjan Dash, Vivekanand Gopalkrishnan, V. Gopalkrishnan, 2007, DaWaK.

EFFICIENT PARTITIONING BASED HIERARCHICAL AGGLOMERATIVE CLUSTERING USING GRAPHICS ACCELERATORS WITH CUDA

Manoranjan Dash, S. A. Arul Shalom, M. Dash, 2013 .

Diabetes Prediction Using Machine Learning Classification Algorithms

M. Dash, Abhilash Pati, Jitranjan Sahoo, 2020 .

THE INTEL-BASED SUB-NUMA CLUSTERING APPROACH FOR MEMORY ALLOCATION IN MULTI CORE PROCESSORS

S. M. Rafi, M. Dash, Sankararao Majji, 2021 .

Outlier detection in transactional data

Manoranjan Dash, Willie Ng, M. Dash, 2010, Intell. Data Anal..

Swarm intelligence based clustering technique for automated lesion detection and diagnosis of psoriasis

Subhojit Ghosh, Rajendra S. Sonawane, Manoranjan Dash, 2020, Comput. Biol. Chem..

Design and Implementation of a Cloud based TeleDermatology System

Manoranjan Dash, Amitav Mahapatra, M. Dash, 2013 .

Wrapper–Filter Feature Selection Algorithm Using a Memetic Framework

Y. Ong, Zexuan Zhu, M. Dash, 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Discretization: An Enabling Technique

C. Tan, Huan Liu, M. Dash, 2002, Data Mining and Knowledge Discovery.

An Approach for Fast Hierarchical Agglomerative Clustering Using Graphics Processors with CUDA

Manoranjan Dash, Minh Tue, S. A. Arul Shalom, 2010, PAKDD.

An Interactive Analytics Tool for Understanding Location Semantics and Mobility of Users Using Mobile Network Data

James Decraene, Ghim-Eng Yap, Xiaoli Li, 2014, 2014 IEEE 15th International Conference on Mobile Data Management.

Visualize People's Mobility - Both individually and Collectively - Using Mobile Phone Cellular Data

Shonali Krishnaswamy, Amy Shi Nash, Manoranjan Dash, 2016, 2016 17th IEEE International Conference on Mobile Data Management (MDM).

Next place prediction by understanding mobility patterns

João Bártolo Gomes, Shonali Krishnaswamy, Amy Shi Nash, 2015, 2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops).

Consumer's Perception towards Organic Food Products

M. Dash, M. Dash, Alaka Samantaray, 2014 .

Why Physician's Keep Coming Back to Telemedicine: Predicting Using Unsupervised Learning

M. Dash, Preeti Y. Shadangi, Sunil Kar, 2019, Indian Journal of Public Health Research & Development.

Graphics Hardware based Efficient and Scalable Fuzzy C-Means Clustering

Manoranjan Dash, Minh Tue, S. A. Arul Shalom, 2008, AusDM.