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- research-articleJune 2023
SimCost: cost-effective resource provision prediction and recommendation for spark workloads
Distributed and Parallel Databases (DAPD), Volume 42, Issue 1Mar 2024, Pages 73–102https://doi.org/10.1007/s10619-023-07436-yAbstractSpark is one of the most popular big data analytical platforms. To save time, achieve high resource utilization, and remain cost-effective for Spark jobs, it is challenging but imperative for data scientists to configure suitable resource ...
- research-articleDecember 2022
Deep learning-based computer aided diagnosis model for skin cancer detection and classification
Distributed and Parallel Databases (DAPD), Volume 40, Issue 4Dec 2022, Pages 717–736https://doi.org/10.1007/s10619-021-07360-zAbstractSkin cancer is a commonly occurring disease, which affects people of all age groups. Automated detection of skin cancer is needed to decrease the death rate by identifying the diseases at the initial stage. The visual inspection during the medical ...
- research-articleDecember 2022
Super-resolution reconstruction algorithm for aerial image data management based on deep learning
Distributed and Parallel Databases (DAPD), Volume 40, Issue 4Dec 2022, Pages 699–716https://doi.org/10.1007/s10619-021-07356-9AbstractDeep learning aims to learn the internal laws and representation levels of sample data. The information obtained in the learning process is of great help in the interpretation of data such as text, images and sounds. With the continuous ...
- research-articleDecember 2022
Research on network abnormal data flow mining based on improved cluster analysis
Distributed and Parallel Databases (DAPD), Volume 40, Issue 4Dec 2022, Pages 797–813https://doi.org/10.1007/s10619-021-07353-yAbstractAiming at the problems of traditional methods that cannot adapt to the interference of noise or abnormal data, the data mining time is long, and the data mining accuracy is low, a network abnormal data stream mining method based on improved ...
- research-articleDecember 2022
DLFPM-SSO-PE: privacy-preserving and security of intermediate data in cloud storage
Distributed and Parallel Databases (DAPD), Volume 40, Issue 4Dec 2022, Pages 815–833https://doi.org/10.1007/s10619-021-07352-zAbstractNowadays, cloud computing has played a vital role in most data-intensive applications to store the data in the intermediated dataset. This effective cloud storage process helps to minimize the storage and processing cost while performing ...
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- research-articleDecember 2022
An early warning model for the stuck-in medical drilling process based on the artificial fish swarm algorithm and SVM
Distributed and Parallel Databases (DAPD), Volume 40, Issue 4Dec 2022, Pages 779–796https://doi.org/10.1007/s10619-021-07344-zAbstractTo avoid the considerable challenges and losses caused by stuck drilling to normal drilling operations, this article analyses the mechanism of stuck drilling, then combines the artificial fish swarm algorithm (AFSA) and support vector machine (SVM)...
- research-articleSeptember 2022
Recursive SQL and GPU-support for in-database machine learning
Distributed and Parallel Databases (DAPD), Volume 40, Issue 2-3Sep 2022, Pages 205–259https://doi.org/10.1007/s10619-022-07417-7AbstractIn machine learning, continuously retraining a model guarantees accurate predictions based on the latest data as training input. But to retrieve the latest data from a database, time-consuming extraction is necessary as database systems have ...
- research-articleSeptember 2022
Bio-SODA UX: enabling natural language question answering over knowledge graphs with user disambiguation
- Ana Claudia Sima,
- Tarcisio Mendes de Farias,
- Maria Anisimova,
- Christophe Dessimoz,
- Marc Robinson-Rechavi,
- Erich Zbinden,
- Kurt Stockinger
Distributed and Parallel Databases (DAPD), Volume 40, Issue 2-3Sep 2022, Pages 409–440https://doi.org/10.1007/s10619-022-07414-wAbstractThe problem of natural language processing over structured data has become a growing research field, both within the relational database and the Semantic Web community, with significant efforts involved in question answering over knowledge graphs (...
- research-articleMarch 2022
Hybridization of immune with particle swarm optimization in task scheduling on smart devices
Distributed and Parallel Databases (DAPD), Volume 40, Issue 1Mar 2022, Pages 85–107https://doi.org/10.1007/s10619-021-07337-yAbstractThe cloud environment allows enhanced task scheduling techniques for allocating tasks efficiently for smart devices. In this article, the task scheduling technique of artificial immune system (AIS), randomized gossip algorithm (RGA), and particle ...
- research-articleDecember 2021
Semantic-based Big Data integration framework using scalable distributed ontology matching strategy
Distributed and Parallel Databases (DAPD), Volume 39, Issue 4Dec 2021, Pages 891–937https://doi.org/10.1007/s10619-021-07321-6AbstractNowadays, Big Data management has become a key basis for innovation, productivity growth, and competition. The correlated exploitation of data of this magnitude remains primordial to discover valuable insights and support decision making for ...
- research-articleSeptember 2021
A kernel discriminant analysis for spatially dependent data
Distributed and Parallel Databases (DAPD), Volume 39, Issue 3Sep 2021, Pages 583–606https://doi.org/10.1007/s10619-020-07309-8AbstractWe propose a novel supervised classification algorithm for spatially dependent data, built as an extension of kernel discriminant analysis, that we named Spatial Kernel Discriminant Analysis (SKDA). Our algorithm is based on a kernel estimate of ...
- research-articleJuly 2021
Immersive online biometric authentication algorithm for online guiding based on face recognition and cloud-based mobile edge computing
Distributed and Parallel Databases (DAPD), Volume 41, Issue 1-2Jun 2023, Pages 133–154https://doi.org/10.1007/s10619-021-07351-0AbstractThe Internet deconstructs and reshapes the traditional classroom organization, the status of teachers, the authority of teaching materials and the role of students. Online Ideological and political education with the help of the Internet has ...
- research-articleJune 2021
TPStream: low-latency and high-throughput temporal pattern matching on event streams
Distributed and Parallel Databases (DAPD), Volume 39, Issue 2Jun 2021, Pages 361–412https://doi.org/10.1007/s10619-019-07272-zAbstractSequential pattern matching to detect a user-defined sequence of conditions on event streams is a key feature in modern event processing systems. However, the sequential nature of event based pattern matching has two major deficiencies. First, it ...
- research-articleMay 2021
A novel resource management framework in a cloud computing environment using hybrid cat swarm BAT (HCSBAT) algorithm
Distributed and Parallel Databases (DAPD), Volume 41, Issue 1-2Jun 2023, Pages 53–63https://doi.org/10.1007/s10619-021-07339-wAbstractResource management is an important issue in the cloud computing paradigm. The maximum Utilization of resources leads the service providers to get maximum profit. The suitable resources in the cloud data centre are needed to satisfy the user ...
- research-articleMarch 2021
Location prediction: a deep spatiotemporal learning from external sensors data
- Lívia Almada Cruz,
- Karine Zeitouni,
- Ticiana Linhares Coelho da Silva,
- José Antonio Fernandes de Macedo,
- José Soares da Silva
Distributed and Parallel Databases (DAPD), Volume 39, Issue 1Mar 2021, Pages 259–280https://doi.org/10.1007/s10619-020-07303-0AbstractThis paper proposes a deep multi-task learning framework to predict the next location from trajectories that are captured by external sensors (e.g., traffic surveillance cameras, or speed radars). The reported positions in such trajectories are ...
- research-articleDecember 2020
Self-driving database systems: a conceptual approach
Distributed and Parallel Databases (DAPD), Volume 38, Issue 4Dec 2020, Pages 795–817https://doi.org/10.1007/s10619-020-07288-wAbstractChallenges for self-driving database systems, which tune their physical design and configuration autonomously, are manifold: Such systems have to anticipate future workloads, find robust configurations efficiently, and incorporate knowledge gained ...
- research-articleDecember 2020
A gray-box modeling methodology for runtime prediction of Apache Spark jobs
Distributed and Parallel Databases (DAPD), Volume 38, Issue 4Dec 2020, Pages 819–839https://doi.org/10.1007/s10619-020-07286-yAbstractApache Spark jobs are often characterized by processing huge data sets and, therefore, require runtimes in the range of minutes to hours. Thus, being able to predict the runtime of such jobs would be useful not only to know when the job will ...
- research-articleDecember 2020
Speeding up AutoTuning of the Memory Management Options in Data Analytics
Distributed and Parallel Databases (DAPD), Volume 38, Issue 4Dec 2020, Pages 841–863https://doi.org/10.1007/s10619-019-07281-yAbstractMany solutions used towards building autonomous (or, self-driving) data processing systems today are trying to leverage the “black box” algorithm of Bayesian Optimization (BO) both due to its wider applicability and the theoretical guarantees ...
- research-articleDecember 2020
Revisiting hash join on graphics processors: a decade later
Distributed and Parallel Databases (DAPD), Volume 38, Issue 4Dec 2020, Pages 771–793https://doi.org/10.1007/s10619-019-07280-zAbstractOver the last decade, significant research effort has been put into improving the performance of hash join operation on GPUs. Over the same period, there have been significant changes to the GPU architecture. Hence in this paper, we first revisit ...
- research-articleSeptember 2020
On accurate POI recommendation via transfer learning
Distributed and Parallel Databases (DAPD), Volume 38, Issue 3Sep 2020, Pages 585–599https://doi.org/10.1007/s10619-020-07299-7AbstractPoint of interest (POI) recommendation is of great value for both service providers and users. However, it is hard due to data scarcity. To this end, in this paper, we propose a transfer learning based deep neural model, which fuses valueable ...