# Data Stream Mining Techniques

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/data-stream-mining-techniques/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on the adaptation to concept drift in data streams, particularly in the context of ensemble learning, adaptive algorithms, and online learning. It addresses challenges such as change detection, class imbalance, and incremental learning in streaming data environments. |
| Domain | Physical Sciences |
| Field | Computer Science |
| OpenAlex ID | t12761 |
| Works | 61 |

## Topic papers all

Showing 15 of 61.

- [A review on genetic algorithm: past, present, and future](https://scholariq.org/papers/a-review-on-genetic-algorithm-past-present-and-future/)
- [Data Mining for the Internet of Things: Literature Review and Challenges](https://scholariq.org/papers/data-mining-for-the-internet-of-things-literature-review-and-challenges/)
- [Characterizing concept drift](https://scholariq.org/papers/characterizing-concept-drift/)
- [Incremental Linear Discriminant Analysis for Classification of Data Streams](https://scholariq.org/papers/incremental-linear-discriminant-analysis-for-classification-of-data-streams/)
- [CrowdSearch](https://scholariq.org/papers/crowdsearch/)
- [Fast Multi-View Clustering Via Ensembles: Towards Scalability, Superiority, and Simplicity](https://scholariq.org/papers/fast-multi-view-clustering-via-ensembles-towards-scalability-superiority-and/)
- [IOT based wearable sensor for diseases prediction and symptom analysis in healthcare sector](https://scholariq.org/papers/iot-based-wearable-sensor-for-diseases-prediction-and-symptom-analysis-in/)
- [The Dynamics of Micro-Task Crowdsourcing](https://scholariq.org/papers/the-dynamics-of-micro-task-crowdsourcing/)
- [Generating Synthetic Time Series to Augment Sparse Datasets](https://scholariq.org/papers/generating-synthetic-time-series-to-augment-sparse-datasets/)
- [Pick-a-crowd](https://scholariq.org/papers/pick-a-crowd/)
- [An Incremental Learning Framework for Human-Like Redundancy Optimization of Anthropomorphic Manipulators](https://scholariq.org/papers/an-incremental-learning-framework-for-human-like-redundancy-optimization-of/)
- [Database Meets Deep Learning](https://scholariq.org/papers/database-meets-deep-learning/)
- [Personal recommendation using deep recurrent neural networks in NetEase](https://scholariq.org/papers/personal-recommendation-using-deep-recurrent-neural-networks-in-netease/)
- [A Novel Clustering Method Using Enhanced Grey Wolf Optimizer and MapReduce](https://scholariq.org/papers/a-novel-clustering-method-using-enhanced-grey-wolf-optimizer-and-mapreduce/)
- [A systematic review of meta-heuristic algorithms in IoT based application](https://scholariq.org/papers/a-systematic-review-of-meta-heuristic-algorithms-in-iot-based-application/)

## Topic primary papers

- [Characterizing concept drift](https://scholariq.org/papers/characterizing-concept-drift/)
- [Incremental Linear Discriminant Analysis for Classification of Data Streams](https://scholariq.org/papers/incremental-linear-discriminant-analysis-for-classification-of-data-streams/)
- [IOT based wearable sensor for diseases prediction and symptom analysis in healthcare sector](https://scholariq.org/papers/iot-based-wearable-sensor-for-diseases-prediction-and-symptom-analysis-in/)
- [Database Meets Deep Learning](https://scholariq.org/papers/database-meets-deep-learning/)
- [Analyzing concept drift and shift from sample data](https://scholariq.org/papers/analyzing-concept-drift-and-shift-from-sample-data/)
- [A Multitask Learning Model for Online Pattern Recognition](https://scholariq.org/papers/a-multitask-learning-model-for-online-pattern-recognition/)
- [Big Data classification: techniques and tools](https://scholariq.org/papers/big-data-classification-techniques-and-tools/)
- [Constant-Time Sliding Window Framework with Reduced Memory Footprint and Efficient Bulk Evictions](https://scholariq.org/papers/constant-time-sliding-window-framework-with-reduced-memory-footprint-and/)
- [A Rule-Based Opto-Electronic Detection and Target Recognition System](https://scholariq.org/papers/a-rule-based-opto-electronic-detection-and-target-recognition-system/)
- [Constant- Time Approximate Sliding Window Framework with Error Control](https://scholariq.org/papers/constant-time-approximate-sliding-window-framework-with-error-control/)
- [An adaptive online learning scheme for anomaly detection in IIoT data streams under varying operating conditions](https://scholariq.org/papers/an-adaptive-online-learning-scheme-for-anomaly-detection-in-iiot-data-streams/)
- [Adaptive Fault Diagnosis in Wafer Production Lines Fusing Knowledge Graphs and Deep Reinforcement Learning](https://scholariq.org/papers/adaptive-fault-diagnosis-in-wafer-production-lines-fusing-knowledge-graphs-and/)

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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.