Tag

ARIMA

0 views collected around this technical thread.

Model Perspective
Model Perspective
Aug 3, 2022 · Fundamentals

Master Differencing and ARIMA Modeling: From Theory to Python Implementation

This article explains the concept of differencing for extracting deterministic information, outlines when to use first, second, or seasonal differencing, introduces the ARIMA(p,d,q) model and its special cases, and provides a complete Python example with code and visualizations.

ARIMAPythondifferencing
0 likes · 5 min read
Master Differencing and ARIMA Modeling: From Theory to Python Implementation
Python Programming Learning Circle
Python Programming Learning Circle
Nov 8, 2021 · Fundamentals

Time Series Analysis with Python: Complete ARIMA Modeling Workflow

This tutorial walks through the full Python-based ARIMA modeling process for time‑series analysis, covering data loading, stationarity and white‑noise tests, model order selection, parameter estimation, diagnostic checks, and future forecasting with detailed code examples.

ARIMAdata analysisstatistical modeling
0 likes · 10 min read
Time Series Analysis with Python: Complete ARIMA Modeling Workflow
Ctrip Technology
Ctrip Technology
Dec 17, 2020 · Artificial Intelligence

Time Series Forecasting: Tools, Models, and Lessons from Ctrip

This article outlines Ctrip's approach to time series forecasting, covering background, common tools such as factor‑based models, traditional statistical methods like ARIMA, and machine‑learning techniques including tree and neural networks, and shares practical experiences on data splitting, feature engineering, model stability, and evaluation.

ARIMACtripdata analysis
0 likes · 13 min read
Time Series Forecasting: Tools, Models, and Lessons from Ctrip
Ctrip Technology
Ctrip Technology
Sep 24, 2020 · Artificial Intelligence

Time Series Analysis and ARIMA Modeling Practice with Python

This article introduces time series fundamentals, classification, and challenges for internet businesses, then provides a step‑by‑step Python tutorial on ARIMA modeling—including data loading, stationarity testing, differencing, ACF/PACF analysis, AIC‑based order selection, model training, prediction, error evaluation, exogenous variable integration, and diagnostic checks.

ARIMAPythonforecasting
0 likes · 11 min read
Time Series Analysis and ARIMA Modeling Practice with Python
Python Programming Learning Circle
Python Programming Learning Circle
May 21, 2020 · Artificial Intelligence

Time Series Forecasting and Anomaly Detection for API Traffic Using Seasonal Decomposition and ARIMA

The article presents a complete workflow for predicting next‑day API request volumes by exploring per‑minute traffic data, handling missing values, applying seasonal decomposition, training an ARIMA model on the trend component, and generating confidence intervals to flag anomalous spikes.

ARIMAAnomaly DetectionPython
0 likes · 12 min read
Time Series Forecasting and Anomaly Detection for API Traffic Using Seasonal Decomposition and ARIMA
iQIYI Technical Product Team
iQIYI Technical Product Team
Mar 27, 2020 · Artificial Intelligence

Advertising Inventory Estimation and Allocation Techniques at iQIYI: From ARIMA to Deep Learning and AI Tagging

iQIYI’s brand‑advertising system combines statistical and ARIMA‑based forecasting, adaptive and deep‑learning models, factorization‑machine regression, large‑scale bipartite‑graph allocation, hierarchical handling of long‑tail dimensions, frequency‑capping constraints, and an AI‑driven video‑tagging pipeline to accurately estimate inventory and dynamically place ads.

AI taggingARIMALSTM
0 likes · 26 min read
Advertising Inventory Estimation and Allocation Techniques at iQIYI: From ARIMA to Deep Learning and AI Tagging
NetEase Game Operations Platform
NetEase Game Operations Platform
Dec 21, 2019 · Artificial Intelligence

Time Series Forecasting Algorithms and Their Application in NetEase Game Monitoring

The article reviews traditional, neural network, and open‑source time‑series forecasting methods, explains their strengths and limitations, and demonstrates how NetEase applies short‑term and long‑term prediction models such as Holt‑Winters, ARIMA, STL, Prophet, and LSTM to improve game monitoring and proactive alerting.

AIOpsARIMAHolt-Winters
0 likes · 12 min read
Time Series Forecasting Algorithms and Their Application in NetEase Game Monitoring
360 Tech Engineering
360 Tech Engineering
Aug 24, 2018 · Artificial Intelligence

Time Series Forecasting with Seasonal Decomposition and ARIMA

This article explains how to process a periodic time‑series, split it into training and test sets, smooth the data, decompose it with statsmodels' seasonal_decompose, forecast the trend using an ARIMA model, and evaluate the results with RMSE, providing a practical workflow for accurate forecasting.

ARIMAPythondata smoothing
0 likes · 5 min read
Time Series Forecasting with Seasonal Decomposition and ARIMA
360 Zhihui Cloud Developer
360 Zhihui Cloud Developer
Mar 20, 2017 · Operations

How 360’s DoctorStarange Boosts Ops with AI‑Driven Prediction, Correlation, and Resource Optimization

This article explains how 360’s DoctorStarange system combines time‑series forecasting, neural‑network predictions, alarm correlation, and a machine‑health scoring model to reduce false alerts, automate remediation, and maximize resource utilization across thousands of production servers.

ARIMAOperationsalarm correlation
0 likes · 14 min read
How 360’s DoctorStarange Boosts Ops with AI‑Driven Prediction, Correlation, and Resource Optimization