Towards Self-Tuning Data Placement in Parallel Database Systems. - Mong-Li Lee; Masaru Kitsuregawa; Beng Chin Ooi; Kian-Lee Tan; Anirban Mondal (SIGMOD Conference, 2000)

R-tree-based Data Migration and Selv-Tuning Strategies in Shared-Nothing Spatial Databases. - Anirban Mondal; Masaru Kitsuregawa; Beng Chin Ooi; Kian-Lee Tan (ACM-GIS, 2001)

Effective Load-Balancing via Migration and Replication in Spatial Grids. - Anirban Mondal; Kazuo Goda; Masaru Kitsuregawa (DEXA, 2003)

On Improving the Performance Dependability of Unstructured P2P Systems via Replication. - Anirban Mondal; Yi Lifu; Masaru Kitsuregawa (DEXA, 2004)

P2PR-Tree: An R-Tree-Based Spatial Index for Peer-to-Peer Environments. - Anirban Mondal; Yi Lifu; Masaru Kitsuregawa (EDBT Workshops, 2004)

Load-Balancing Remote Spatial Join Queries in a Spatial GRID. - Anirban Mondal; Masaru Kitsuregawa (ER, 2004)

DataBank: A Blueprint for efficient privacy-preserving personalized user data management worldwide. - Anirban Mondal; Pankaj Garg; Masaru Kitsuregawa (COMAD (b), 2005)

On Effective E-mail Classification via Neural Networks. - Bin Cui 001; Anirban Mondal; Jialie Shen 001; Gao Cong; Kian-Lee Tan (DEXA, 2005)

Effective Dynamic Replication in Wide-Area Network Environments: A Perspective. - Anirban Mondal; Masaru Kitsuregawa (DEXA Workshops, 2005)

kNR-tree: a novel R-tree-based index for facilitating spatial window queries on any k relations among N spatial relations in mobile environments. - Anirban Mondal; Anthony K. H. Tung; Masaru Kitsuregawa (Mobile Data Management, 2005)

EcoRep: An Economic Model for efficient dynamic replication in Mobile-P2P networks. - Anirban Mondal; Sanjay Madria; Masaru Kitsuregawa (COMAD, 2006)

06431 Working Group Summary: P2P, Ad Hoc and Sensor Networks - All the Different or All the Same?. - Peter A. Boncz; Angela Bonifati; Joos-Hendrik Böse; Stefan Böttcher; Panos K. Chrysanthis; Le Gruenwald; Arantza Illarramendi; Peter Janacik; Birgitta König-Ries; Wolfgang May; Anirban Mondal; Sebastian Obermeier 001; et al. (Scalable Data Management in Evolving Networks, 2006)

06431 Working Group Summary: Atomicity in Mobile Networks. - Sebastian Obermeier 001; Joos-Hendrik Böse; Stefan Böttcher; Panos K. Chrysanthis; Alex Delis; Le Gruenwald; Anirban Mondal; Aris M. Ouksel; George Samaras; Stratis Viglas (Scalable Data Management in Evolving Networks, 2006)

CLEAR: An Efficient Context and Location-Based Dynamic Replication Scheme for Mobile-P2P Networks. - Anirban Mondal; Sanjay Kumar Madria; Masaru Kitsuregawa (DEXA, 2006)

Privacy, Security and Trust in P2P environments: A Perspective. - Anirban Mondal; Masaru Kitsuregawa (DEXA Workshops, 2006)

CADRE: A Collaborative replica allocation and deallocation approach for Mobile-P2P networks. - Anirban Mondal; Sanjay Kumar Madria; Masaru Kitsuregawa (IDEAS, 2006)

ABIDE: A Bid-Based Economic Incentive Model for Enticing Non-cooperative Peers in Mobile-P2P Networks. - Anirban Mondal; Sanjay Kumar Madria; Masaru Kitsuregawa (DASFAA, 2007)

Research issues and overview of economic models in Mobile-P2P networks. - Anirban Mondal; Sanjay Kumar Madria; Masaru Kitsuregawa (DEXA Workshops, 2007)

LEASE: An Economic Approach to Leasing Data Items in Mobile-P2P Networks to Improve Data Availability. - Anirban Mondal; Sanjay Kumar Madria; Masaru Kitsuregawa (DNIS, 2007)

ConQuer: A Peer Group-Based Incentive Model for Constraint Querying in Mobile-P2P Networks. - Anirban Mondal; Sanjay Kumar Madria; Masaru Kitsuregawa (MDM, 2007)

EcoRare: An Economic Incentive Scheme for Efficient Rare Data Accessibility in Mobile-P2P Networks. - Anirban Mondal; Sanjay Kumar Madria; Masaru Kitsuregawa (DEXA, 2008)

Economic-based Incentive Schemes for Dynamic Data Management in Mobile P2P Computing. - Sanjay Kumar Madria; Anirban Mondal (MDM, 2008)

Keyword Search in Spatial Databases: Towards Searching by Document. - Dongxiang Zhang; Yeow Meng Chee; Anirban Mondal; Anthony K. H. Tung; Masaru Kitsuregawa (ICDE, 2009)

Polarity Classification of Subjective Words Using Common-Sense Knowledge-Base. - Ashish Sureka; Vikram Goyal; Denzil Correa; Anirban Mondal (RSFDGrC, 2009)

An economic incentive model for encouraging peer collaboration in mobile-P2P networks with support for constraint queries. - Anirban Mondal; Sanjay Kumar Madria; Masaru Kitsuregawa (Peer-to-Peer Netw. Appl., 2009)

EcoBroker: An Economic Incentive-Based Brokerage Model for Efficiently Handling Multiple-Item Queries to Improve Data Availability via Replication in Mobile-P2P Networks. - Anirban Mondal; Kuldeep Yadav; Sanjay Kumar Madria (DNIS, 2010)

E-ARL: An Economic incentive scheme for Adaptive Revenue-Load-based dynamic replication of data in Mobile-P2P networks. - Anirban Mondal; Sanjay Kumar Madria; Masaru Kitsuregawa (Distributed Parallel Databases, 2010)

Improving data availability via an economic lease model in mobile-P2P networks. - Anirban Mondal; Sanjay Kumar Madria; Masaru Kitsuregawa (Int. J. Comput. Sci. Eng., 2010)

A Collaborative Replication Approach for Mobile-P2P Networks. - Anirban Mondal; Sanjay Kumar Madria; Masaru Kitsuregawa (Int. J. Handheld Comput. Res., 2010)

EcoTop: An Economic Model for Dynamic Processing of Top-k Queries in Mobile-P2P Networks. - Nilesh Padhariya; Anirban Mondal; Vikram Goyal; Roshan Shankar; Sanjay Kumar Madria (DASFAA (2), 2011)

Crowdsourcing: Dynamic Data Management in Mobile P2P Networks. - Sanjay Kumar Madria; Anirban Mondal (MDM, 2012)

The Role of Incentive-Based Crowd-Driven Data Collection in Big Data Analytics: A Perspective. - Anirban Mondal (BDA, 2013)

Economic incentive-based brokerage schemes for improving data availability in mobile-P2P networks. - Nilesh Padhariya; Anirban Mondal; Sanjay Kumar Madria; Masaru Kitsuregawa (Comput. Commun., 2013)

Dynamic Content and Route Management in Wireless Networks. - Sanjay Kumar Madria; Anirban Mondal; Tridib Mukherjee (MDM (2), 2014)

RoadEye: A System for Personalized Retrieval of Dynamic Road Conditions. - Anirban Mondal; Avinash Sharma 001; Kuldeep Yadav; Abhishek Tripathi; Atul Singh; Nischal M. Piratla (MDM (1), 2014)

CityZen: A Cost-Effective City Management System with Incentive-Driven Resident Engagement. - Tridib Mukherjee; Deepthi Chander; Anirban Mondal; Koustuv Dasgupta; Amit Kumar; Ashwin Venkat (MDM (1), 2014)

E-VeT: Economic Reward/Penalty-Based System for Vehicular Traffic Management. - Nilesh Padhariya; Ouri Wolfson; Anirban Mondal; Varun Gandhi; Sanjay Kumar Madria (MDM (1), 2014)

CitR: a scalable system for quick spatial retrieval of resident involvement information for smarter cities. - Anirban Mondal; Atul Singh; Nimmi Rangaswamy; Tridib Mukherjee; Deepthi Chander (Middleware (Posters & Demos), 2014)

Benchmark based performance characterization and scalable design of sensing-as-a-service platform. - Tridib Mukherjee; Amit Kumar; Deepthi Chander; Koustuv Dasgupta; Amandeep Chugh; Anirban Mondal (Middleware (Posters & Demos), 2014)

Bayesian Uncertainty Quantification for Subsurface Inversion Using a Multiscale Hierarchical Model. - Anirban Mondal; Bani K. Mallick; Yalchin Efendiev; Akhil Datta-Gupta (Technometrics, 2014)

LoRUS: A Mobile Crowdsourcing System for Efficiently Retrieving the Top-k Relevant Users in a Spatial Window. - Anirban Mondal; Gurulingesh Raravi; Amandeep Chugh; Tridib Mukherjee (HCOMP, 2015)

Efficient and Scalable Spatial Retrieval of Resident Involvement Information in City Events. - Anirban Mondal; Tridib Mukherjee; Amandeep Chugh; Atul Singh; Deepthi Chander (MDM (1), 2015)

Performance characterization and scalable design of sensing-as-a-service platform. - Tridib Mukherjee; Amit Kumar; Deepthi Chander; Koustuv Dasgupta; Amandeep Chugh; Anirban Mondal (SAC, 2015)

Mobile Computing, Internet of Things, and Big Data for Urban Informatics. - Anirban Mondal; Praveen Rao 001; Sanjay Kumar Madria (MDM (Workshops), 2016)

MobiHerd: Towards Enabling Cost-Effective and Scalable Mobile Group Buying. - Gurulingesh Raravi; Anirban Mondal; Thangaraj Rajasubramaniam; Atul Singh (MDM, 2016)

Efficient Processing of Mobile Crowdsourcing Queries with Multiple Sub-tasks for Facilitating Smart Cities. - Nilesh Padhariya; Anirban Mondal; Sanjay Kumar Madria (IWSC@Middleware, 2016)

Top-k query processing in mobile-P2P networks using economic incentive schemes. - Nilesh Padhariya; Anirban Mondal; Sanjay Kumar Madria (Peer-to-Peer Netw. Appl., 2016)

A Flexible and Efficient Indexing Scheme for Placement of Top-Utility Itemsets for Different Slot Sizes. - Parul Chaudhary; Anirban Mondal; Krishna Reddy Polepalli (BDA, 2017)

A Framework to Improve Reuse in Weather-Based DSS Based on Coupling Weather Conditions. - Alugubelly Mamatha; P. Krishna Reddy; Anirban Mondal; Seishi Ninomiya; Gade Sreenivas (BDA, 2017)

Economic Incentive Schemes for Improving Availability of Rare Data in Mobile-P2P Networks. - Nilesh Padhariya; Anirban Mondal; Sanjay Madria; Masaru Kitsuregawa (Int. J. Next Gener. Comput., 2017)

Mobile Computing, IoT and Big Data for Urban Informatics: Challenges and Opportunities. - Anirban Mondal; Praveen Rao 001; Sanjay Kumar Madria (Handbook of Smart Cities, Software Services and Cyber Infrastructure, 2018)

Emerging Technologies and Opportunities for Innovation in Financial Data Analytics: A Perspective. - Anirban Mondal; Atul Singh (BDA, 2018)

A Diversification-Aware Itemset Placement Framework for Long-Term Sustainability of Retail Businesses. - Parul Chaudhary; Anirban Mondal; Krishna Reddy Polepalli (DEXA (1), 2018)

An Efficient Premiumness and Utility-Based Itemset Placement Scheme for Retail Stores. - Parul Chaudhary; Anirban Mondal; Krishna Reddy Polepalli (DEXA (1), 2019)

Discovering Diverse Popular Paths Using Transactional Modeling and Pattern Mining. - P. Revanth Rathan; P. Krishna Reddy; Anirban Mondal (DEXA (1), 2019)

An Incremental Technique for Mining Coverage Patterns in Large Databases. - Akhil Ralla; P. Krishna Reddy; Anirban Mondal (DSAA, 2019)

Multi-location visibility query processing using portion-based transactional modeling and pattern mining. - Lakshmi Gangumalla; P. Krishna Reddy; Anirban Mondal (Data Min. Knowl. Discov., 2019)

A Revenue-Based Product Placement Framework to Improve Diversity in Retail Businesses. - Pooja Gaur; P. Krishna Reddy; Mittapally Kumara Swamy; Anirban Mondal (BDA, 2020)

Coverage Pattern Mining Based on MapReduce. - Akhil Ralla; Shadaab Siddiqie; P. Krishna Reddy; Anirban Mondal (COMAD/CODS, 2020)

Improving Product Placement in Retail with Generalized High-Utility Itemsets. - Chinmay Bapna; Krishna Reddy Polepalli; Anirban Mondal (DSAA, 2020)

Sensor-based Framework for Improved Air Conditioning Under Diverse Temperature Layout. - Shadaab Siddiqie; Akhil Ralla; P. Krishna Reddy; Anirban Mondal (ICDCN, 2020)

Towards Efficient Retrieval of Top-k Entities in Systems of Engagement. - Anirban Mondal; Nilesh Padhariya; Mukesh K. Mohania (WISE (2), 2020)

An analytical model for information gathering and propagation in social networks using random graphs. - Samant Saurabh; Sanjay Madria; Anirban Mondal; Ashok Singh Sairam; Saurabh Mishra (Data Knowl. Eng., 2020)

An improved scheme for determining top-revenue itemsets for placement in retail businesses. - Parul Chaudhary; Anirban Mondal; Krishna Reddy Polepalli (Int. J. Data Sci. Anal., 2020)

An Efficient Distributed Coverage Pattern Mining Algorithm. - Preetham Sathineni; A. Srinivas Reddy; P. Krishna Reddy; Anirban Mondal (BDA, 2021)

An Improved Dummy Generation Approach for Enhancing User Location Privacy. - Shadaab Siddiqie; Anirban Mondal; P. Krishna Reddy (DASFAA (3), 2021)

An Urgency-Aware and Revenue-Based Itemset Placement Framework for Retail Stores. - Raghav Mittal; Anirban Mondal; Parul Chaudhary; P. Krishna Reddy (DEXA (2), 2021)

Improving Billboard Advertising Revenue Using Transactional Modeling and Pattern Mining. - P. Revanth Rathan; P. Krishna Reddy; Anirban Mondal (DEXA (1), 2021)

PEAR: A Product Expiry-Aware and Revenue-Conscious Itemset Placement Scheme. - Anirban Mondal; Raghav Mittal; Vrinda Khandelwal; Parul Chaudhary; P. Krishna Reddy (DSAA, 2021)

A Model of Graph Transactional Coverage Patterns with Applications to Drug Discovery. - A. Srinivas Reddy; P. Krishna Reddy; Anirban Mondal; U. Deva Priyakumar (HiPC, 2021)

A Retail Itemset Placement Framework Based on Premiumness of Slots and Utility Mining. - Anirban Mondal; Samant Saurabh; Parul Chaudhary; Raghav Mittal; Krishna Reddy Polepalli (IEEE Access, 2021)

Bayesian Uncertainty Quantification of Local Volatility Model. - Kai Yin; Anirban Mondal (CoRR, 2021)

Efficient Indexing of Top-k Entities in Systems of Engagement with Extensions for Geo-tagged Entities. - Anirban Mondal; Ayaan Kakkar; Nilesh Padhariya; Mukesh K. Mohania (Data Sci. Eng., 2021)

An incremental framework to extract coverage patterns for dynamic databases. - Komallapalli Kaushik; P. Krishna Reddy; Anirban Mondal; Akhil Ralla (Int. J. Data Sci. Anal., 2021)

Preconditioning Markov Chain Monte Carlo Method for Geomechanical Subsidence using multiscale method and machine learning technique. - Maria V. Vasilyeva; Aleksei Tyrylgin; Donald L. Brown; Anirban Mondal (J. Comput. Appl. Math., 2021)

Special Issue on Smart Applications and Data Analysis for Smart Cyber-Physical Systems. - Mohamed Hamlich; Ladjel Bellatreche; Anirban Mondal; Carlos Ordonez 001 (J. Syst. Archit., 2021)

Spatial Retrievals of Atmospheric Carbon Dioxide from Satellite Observations. - Jonathan Hobbs; Matthias Katzfuss; Daniel Zilber; Jenný Brynjarsdóttir; Anirban Mondal; Veronica J. Berrocal (Remote. Sens., 2021)

Analysis of Weather Condition Based Reuse Among Agromet Advisory: A Validation Study. - Mamatha Alugubelly; Krishna Reddy Polepalli; Anirban Mondal; S. G. Mahadevappa; Balaji Naik Banoth; Gade Sreenivas (BDA, 2022)

Visualizing Spatio-temporal Variation of Ambient Air Pollution in Four Small Towns in India. - Girish Agrawal; Hifzur Rahman; Anirban Mondal; P. Krishna Reddy (DASFAA (Workshops), 2022)

Air Quality Data Collection in Hyderabad Using Low-Cost Sensors: Initial Experiences. - N. Chandra Shekar; A. Srinivas Reddy; P. Krishna Reddy; Anirban Mondal; Girish Agrawal (DASFAA (Workshops), 2022)

A Market Segmentation Aware Retail Itemset Placement Framework. - Raghav Mittal; Anirban Mondal; P. Krishna Reddy (DEXA (1), 2022)

A framework for itemset placement with diversification for retail businesses. - Anirban Mondal; Raghav Mittal; Parul Chaudhary; Krishna Reddy Polepalli (Appl. Intell., 2022)

A framework for discovering popular paths using transactional modeling and pattern mining. - P. Revanth Rathan; P. Krishna Reddy; Anirban Mondal (Distributed Parallel Databases, 2022)

Mining subgraph coverage patterns from graph transactions. - A. Srinivas Reddy; P. Krishna Reddy; Anirban Mondal; U. Deva Priyakumar (Int. J. Data Sci. Anal., 2022)

Computer Model Emulation with High-Dimensional Functional Output in Large-Scale Observing System Uncertainty Experiments. - Pulong Ma; Anirban Mondal; Bledar A. Konomi; Jonathan Hobbs; Joon Jin Song; Emily Lei Kang (Technometrics, 2022)

A Pattern Mining Framework for Improving Billboard Advertising Revenue. - P. Revanth Rathan; P. Krishna Reddy; Anirban Mondal (Trans. Large Scale Data Knowl. Centered Syst., 2022)

A Consumer-Good-Type Aware Itemset Placement Framework for Retail Businesses. - Raghav Mittal; Anirban Mondal; P. Krishna Reddy (PAKDD (1), 2023)

An inventory-aware and revenue-based itemset placement framework for retail stores. - Anirban Mondal; Raghav Mittal; Samant Saurabh; Parul Chaudhary; Krishna Reddy Polepalli (Expert Syst. Appl., 2023)

An improved dummy generation approach for infeasible regions. - Shadaab Siddiqie; Anirban Mondal; P. Krishna Reddy (Appl. Intell., 2023)

A Model for Retrieving High-Utility Itemsets with Complementary and Substitute Goods. - Raghav Mittal; Anirban Mondal; P. Krishna Reddy; Mukesh K. Mohania (PAKDD (1), 2024)