Distributed and Parallel Databases

Papers
(The TQCC of Distributed and Parallel Databases is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)
ArticleCitations
Deep learning-based computer aided diagnosis model for skin cancer detection and classification30
ForeXGBoost: passenger car sales prediction based on XGBoost25
Stratified random sampling from streaming and stored data20
Sentimental analysis from imbalanced code-mixed data using machine learning approaches18
A hybrid machine learning approach to identify coronary diseases using feature selection mechanism on heart disease dataset16
Semantic-based Big Data integration framework using scalable distributed ontology matching strategy13
Sensitive attribute privacy preservation of trajectory data publishing based on l-diversity9
Architectural assessment of NoSQL and NewSQL systems8
On accurate POI recommendation via transfer learning7
RETRACTED ARTICLE: Application of machine learning (ML) and internet of things (IoT) in healthcare to predict and tackle pandemic situation7
An efficient sampling-based visualization technique for big data clustering with crisp partitions7
Healthcare Cramér Generative Adversarial Network (HCGAN)7
LSTM-based deep learning for spatial–temporal software testing6
OptSmart: a space efficient Optimistic concurrent execution of Smart contracts6
Dissecting GeoSparkSim: a scalable microscopic road network traffic simulator in Apache Spark6
A survey on novel classification of deduplication storage systems6
Algorithms for processing the group K nearest-neighbor query on distributed frameworks6
An early warning model for the stuck-in medical drilling process based on the artificial fish swarm algorithm and SVM5
A data distribution model for RDF5
Self-adapting data migration in the context of schema evolution in NoSQL databases5
A spatial co-location pattern mining framework insensitive to prevalence thresholds based on overlapping cliques5
Parallel query processing in a polystore5
FIGS-DEAF: an novel implementation of hybrid deep learning algorithm to predict autism spectrum disorders using facial fused gait features5
In-memory parallelization of join queries over large ontological hierarchies4
Detection of breast cancer using the infinite feature selection with genetic algorithm and deep neural network4
Detection of Alzheimer’s disease using grey wolf optimization based clustering algorithm and deep neural network from magnetic resonance images4
Virtual machines pre-copy live migration cost modeling and prediction: a survey4
Location prediction: a deep spatiotemporal learning from external sensors data3
Remote sensing imaging analysis and ubiquitous cloud-based mobile edge computing based intelligent forecast of forest tourism demand3
Social-aware spatial keyword top-k group query3
A simplified variant of tabled asymmetric numeral systems with a smaller look-up table3
MICAR: multi-inhabitant context-aware activity recognition in home environments3
Research on network abnormal data flow mining based on improved cluster analysis3
One size does not fit all: accelerating OLAP workloads with GPUs3
Challenges and future directions for energy, latency, and lifetime improvements in NVMs3
Multiple ground/aerial parcel delivery problem: a Weighted Road Network Voronoi Diagram based approach3
DLFPM-SSO-PE: privacy-preserving and security of intermediate data in cloud storage3
RETRACTED ARTICLE: A distributed submerged object detection and classification enhancement with deep learning3
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