# Data Management and Algorithms

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/data-management-and-algorithms/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on the mining, analysis, and querying of GPS trajectories and moving object data. It covers topics such as trajectory clustering, skyline computation, similarity search, top-k query processing, probabilistic databases, location prediction, and semantic trajectory modeling. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | t11106 |
| Works | 51 |

## Topic papers all

Showing 15 of 51.

- [A Bayesian Method for the Induction of Probabilistic Networks from Data](https://scholariq.org/papers/a-bayesian-method-for-the-induction-of-probabilistic-networks-from-data/)
- [A global averaging method for dynamic time warping, with applications to clustering](https://scholariq.org/papers/a-global-averaging-method-for-dynamic-time-warping-with-applications-to/)
- [Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation](https://scholariq.org/papers/where-to-go-next-modeling-long-and-short-term-user-preferences-for-point-of/)
- [Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation](https://scholariq.org/papers/where-to-go-next-a-spatio-temporal-gated-network-for-next-poi-recommendation-2/)
- [Factorized graph matching](https://scholariq.org/papers/factorized-graph-matching/)
- [Data Mining of User Navigation Patterns](https://scholariq.org/papers/data-mining-of-user-navigation-patterns/)
- [A Bayesian Method for Constructing Bayesian Belief Networks from Databases](https://scholariq.org/papers/a-bayesian-method-for-constructing-bayesian-belief-networks-from-databases/)
- [SemSOS: Semantic sensor Observation Service](https://scholariq.org/papers/semsos-semantic-sensor-observation-service/)
- [Ontology based personalized route planning system using a multi-criteria decision making approach](https://scholariq.org/papers/ontology-based-personalized-route-planning-system-using-a-multi-criteria/)
- [Robust Ensemble Clustering Using Probability Trajectories](https://scholariq.org/papers/robust-ensemble-clustering-using-probability-trajectories/)
- [Modeling Trajectories with Recurrent Neural Networks](https://scholariq.org/papers/modeling-trajectories-with-recurrent-neural-networks/)
- [Rapid collision detection by dynamically aligned DOP-trees](https://scholariq.org/papers/rapid-collision-detection-by-dynamically-aligned-dop-trees/)
- [Database Meets Deep Learning](https://scholariq.org/papers/database-meets-deep-learning/)
- [TrajVAE: A Variational AutoEncoder model for trajectory generation](https://scholariq.org/papers/trajvae-a-variational-autoencoder-model-for-trajectory-generation/)
- [Discovering Knowledge from Fuzzy Concept Lattice](https://scholariq.org/papers/discovering-knowledge-from-fuzzy-concept-lattice/)

## Topic primary papers

- [Data Mining of User Navigation Patterns](https://scholariq.org/papers/data-mining-of-user-navigation-patterns/)
- [Ontology based personalized route planning system using a multi-criteria decision making approach](https://scholariq.org/papers/ontology-based-personalized-route-planning-system-using-a-multi-criteria/)
- [Sumblr](https://scholariq.org/papers/sumblr/)
- [Interactive Top-k Spatial Keyword queries](https://scholariq.org/papers/interactive-top-k-spatial-keyword-queries/)
- [Efficient Evaluation of All-Nearest-Neighbor Queries](https://scholariq.org/papers/efficient-evaluation-of-all-nearest-neighbor-queries/)
- [HPDBSCAN](https://scholariq.org/papers/hpdbscan/)
- [Fuzzy database language and library-fuzzy extension to SQL](https://scholariq.org/papers/fuzzy-database-language-and-library-fuzzy-extension-to-sql/)
- [Inner sphere trees for proximity and penetration queries](https://scholariq.org/papers/inner-sphere-trees-for-proximity-and-penetration-queries/)
- [An efficient indexing for Internet of Things massive data based on cloud‐fog computing](https://scholariq.org/papers/an-efficient-indexing-for-internet-of-things-massive-data-based-on-cloud-fog/)
- [A Survey on Big IoT Data Indexing: Potential Solutions, Recent Advancements, and Open Issues](https://scholariq.org/papers/a-survey-on-big-iot-data-indexing-potential-solutions-recent-advancements-and/)
- [servIoTicy and iServe: A Scalable Platform for Mining the IoT](https://scholariq.org/papers/servioticy-and-iserve-a-scalable-platform-for-mining-the-iot/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.