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time series analysis

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Model Perspective
Model Perspective
Jan 10, 2023 · Fundamentals

Fit Real-World Data with Fourier Series Using Python

This article explains Fourier series theory, demonstrates how to remove linear trends from monthly CO₂ data, and shows step‑by‑step Python code using SciPy's curve_fit to fit and predict the data with a 100‑term Fourier expansion.

Fourier seriesPythondata fitting
0 likes · 6 min read
Fit Real-World Data with Fourier Series Using Python
NetEase Cloud Music Tech Team
NetEase Cloud Music Tech Team
Nov 18, 2022 · Artificial Intelligence

Machine Learning-Based Anomaly Detection for Core Business Metrics

The paper proposes a containerized, machine‑learning framework that fuses rule‑based and XGBoost‑driven anomaly detection to monitor daily active users on a cloud music platform, achieving 89 % recall, 81 % precision and up to 74 % recall improvement over traditional threshold methods, while outlining future model refinement and broader metric applicability.

3-sigmaAnomaly DetectionHolt-Winters
0 likes · 11 min read
Machine Learning-Based Anomaly Detection for Core Business Metrics
Efficient Ops
Efficient Ops
Jun 1, 2021 · Artificial Intelligence

How Time‑Series Analysis Powers AIOps: Overcoming Real‑World Challenges

At the 16th GOPS Global Operations Conference, Shen Hui of DingMao Technology explained how time‑series data analysis underpins AIOps, outlining its four‑step workflow, key challenges, and the company’s three‑pipeline solution that enables trend forecasting, fault prediction, and a robust AI‑driven operational platform.

AIAIOpsOperations
0 likes · 7 min read
How Time‑Series Analysis Powers AIOps: Overcoming Real‑World Challenges
DataFunTalk
DataFunTalk
Sep 16, 2020 · Artificial Intelligence

Hotspot Mining and Event Extraction in Tencent Information Flow: Methods, Framework, and Applications

This article presents Tencent's research on hotspot mining and event extraction for information flow, detailing the challenges of timeliness, comprehensiveness, and heat rationality, the combined use of time‑series analysis, topic detection, clustering, and dynamic‑time‑warping, and the resulting framework and its applications to text, image, and video recommendation.

Event ExtractionNLPhotspot mining
0 likes · 17 min read
Hotspot Mining and Event Extraction in Tencent Information Flow: Methods, Framework, and Applications
Baidu Tech Salon
Baidu Tech Salon
Aug 18, 2014 · Big Data

Big Data and Prediction: Insights from Baidu Research Lab

At Baidu’s 53rd Technology Salon, researcher Shen Zhiyong outlined the lab’s vision of an online intelligent system that unifies monitoring, anomaly detection, diagnosis and big‑data‑driven prediction—using time‑series, causal and simulation analyses—to forecast tourism crowds, predict Gaokao essay topics, and illustrate both the opportunities and challenges of processing massive, heterogeneous data for real‑time decision support.

Baidumachine learningprediction
0 likes · 8 min read
Big Data and Prediction: Insights from Baidu Research Lab