Cover Image

Structuring the Processing Frameworks for Data Stream Evaluation and Application

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Komorniczak, Joanna, Ksieniewicz, Paweł, Zyblewski, Paweł
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Databases
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Taking Class Imbalance Into Account in Open Set Recognition Evaluation
by: Komorniczak, Joanna, et al.
Published: (2024)

Unsupervised Concept Drift Detection based on Parallel Activations of Neural Network
by: Komorniczak, Joanna, et al.
Published: (2024)

torchosr -- a PyTorch extension package for Open Set Recognition models evaluation in Python
by: Komorniczak, Joanna, et al.
Published: (2023)

Employing Sentence Space Embedding for Classification of Data Stream from Fake News Domain
by: Zyblewski, Paweł, et al.
Published: (2024)

Employing Two-Dimensional Word Embedding for Difficult Tabular Data Stream Classification
by: Zyblewski, Paweł
Published: (2024)

Describing Nonstationary Data Streams in Frequency Domain
by: Komorniczak, Joanna
Published: (2025)

Synthetic Non-stationary Data Streams for Recognition of the Unknown
by: Komorniczak, Joanna
Published: (2025)

How to RETIRE Tabular Data in Favor of Discrete Digital Signal Representation
by: Zyblewski, Paweł, et al.
Published: (2025)

Open World Autoencoding Drift Detection with Novel Class Recognition in Tabular Non-stationary Data Streams
by: Komorniczak, Joanna
Published: (2026)

Cross-Modality Clustering-based Self-Labeling for Multimodal Data Classification
by: Zyblewski, Paweł, et al.
Published: (2024)

WarCov -- Large multilabel and multimodal dataset from social platform
by: Borek-Marciniec, Weronika, et al.
Published: (2024)

Synthesizing real-world distributions from high-dimensional Gaussian Noise with Fully Connected Neural Network
by: Komorniczak, Joanna
Published: (2026)

How well does Classification Accuracy capture Concept Drift Detection Quality? An overview of Concept Drift Detection evaluation
by: Komorniczak, Joanna
Published: (2026)

AvalancheBench: Evaluating Enterprise Data Agents Through Latent World Recovery
by: Kleczek, Darek, et al.
Published: (2026)

A Unified Replay-based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data
by: Miao, Hao, et al.
Published: (2024)

Transforming Datasets to Requested Complexity with Projection-based Many-Objective Genetic Algorithm
by: Komorniczak, Joanna
Published: (2025)

Incremental Gaussian Mixture Clustering for Data Streams
by: Bhanderi, Aniket, et al.
Published: (2024)

Algorithmic Data Minimization for Machine Learning over Internet-of-Things Data Streams
by: Shaowang, Ted, et al.
Published: (2025)

Learning-based Sketches for Frequency Estimation in Data Streams without Ground Truth
by: Yuan, Xinyu, et al.
Published: (2024)

CaDrift: A Time-dependent Causal Generator of Drifting Data Streams
by: Barboza, Eduardo V. L., et al.
Published: (2026)

Iterative Forgetting: Online Data Stream Regression Using Database-Inspired Adaptive Granulation
by: Kathiriya, Niket, et al.
Published: (2024)

Know Your Streams: On the Conceptualization, Characterization, and Generation of Intentional Event Streams
by: Maldonado, Andrea, et al.
Published: (2026)

Fair Data Pre-Processing with Imperfect Attribute Space
by: Zheng, Ying, et al.
Published: (2026)

Streaming Model Cascades for Semantic SQL
by: Liskowski, Paweł, et al.
Published: (2026)

CausalPre: Scalable and Effective Data Pre-Processing for Causal Fairness
by: Zheng, Ying, et al.
Published: (2025)

Cortex AISQL: A Production SQL Engine for Unstructured Data
by: Liskowski, Paweł, et al.
Published: (2025)

CluStRE: Streaming Graph Clustering with Multi-Stage Refinement
by: Chhabra, Adil, et al.
Published: (2025)

Relational Database Distillation: From Structured Tables to Condensed Graph Data
by: Gao, Xinyi, et al.
Published: (2025)

GAN-based Tabular Data Generator for Constructing Synopsis in Approximate Query Processing: Challenges and Solutions
by: Fallahian, Mohammadali, et al.
Published: (2022)

An Algorithm for Streaming Differentially Private Data
by: Kumar, Girish, et al.
Published: (2024)

MetaMP: Seamless Metadata Enrichment and AI Application Framework for Enhanced Membrane Protein Visualization and Analysis
by: Awotoro, Ebenezer, et al.
Published: (2025)

SoftPipe: A Soft-Guided Reinforcement Learning Framework for Automated Data Preparation
by: Chang, Jing, et al.
Published: (2025)

C$^{2}$TC: A Training-Free Framework for Efficient Tabular Data Condensation
by: Xu, Sijia, et al.
Published: (2026)

Graph-Structured Data Analysis of Component Failure in Autonomous Cargo Ships Based on Feature Fusion
by: Zhang, Zizhao, et al.
Published: (2025)

SafeLoad: Efficient Admission Control Framework for Identifying Memory-Overloading Queries in Cloud Data Warehouses
by: Wu, Yifan, et al.
Published: (2026)

Process Mining for Unstructured Data: Challenges and Research Directions
by: Koschmider, Agnes, et al.
Published: (2023)

Hydro: Adaptive Query Processing of ML Queries
by: Kakkar, Gaurav Tarlok, et al.
Published: (2024)

RDF Stream Taxonomy: Systematizing RDF Stream Types in Research and Practice
by: Sowinski, Piotr, et al.
Published: (2023)

Evaluation of Pipelines for Data Integration into Knowledge Graphs
by: Hofer, Marvin, et al.
Published: (2026)

Incremental IVF Index Maintenance for Streaming Vector Search
by: Mohoney, Jason, et al.
Published: (2024)