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predictive modeling

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vivo Internet Technology
vivo Internet Technology
Feb 15, 2023 · Artificial Intelligence

Optimizing CDN Bandwidth Utilization and Cost Reduction with Predictive Control (Yugong Platform)

By leveraging the Yugong Platform’s predictive control—combining Prophet‑based threshold forecasts, custom real‑time bandwidth models, and a token‑bucket mechanism—to smooth peaks and fill valleys, enterprises can dramatically improve CDN bandwidth utilization, automate adjustments, and substantially lower peak‑based billing costs.

CDNCost Reductionbandwidth optimization
0 likes · 23 min read
Optimizing CDN Bandwidth Utilization and Cost Reduction with Predictive Control (Yugong Platform)
Model Perspective
Model Perspective
Nov 17, 2022 · Fundamentals

What Makes a Mathematical Model Powerful? Traits, Functions, and Classifications

This article explains the essential characteristics, primary functions, and various classification schemes of mathematical models, highlighting their abstraction, accuracy, predictive power, and how they simplify, simulate, and apply to real‑world phenomena across deterministic, stochastic, fuzzy, and abrupt domains.

abstractionmathematical modelingmodel characteristics
0 likes · 8 min read
What Makes a Mathematical Model Powerful? Traits, Functions, and Classifications
NetEase LeiHuo Testing Center
NetEase LeiHuo Testing Center
Nov 4, 2022 · Artificial Intelligence

Applying AI for Game Balance Testing: DNN Victory Prediction and Genetic Algorithm Optimization

This article details a practical AI-driven workflow for a turn‑based card game, covering problem background, data modeling with a DNN victory‑prediction network, reinforcement‑learning‑based data generation, and a genetic‑algorithm search to identify the strongest and weakest team compositions.

AIDNNgame balance
0 likes · 18 min read
Applying AI for Game Balance Testing: DNN Victory Prediction and Genetic Algorithm Optimization
AntTech
AntTech
Jun 22, 2022 · Cloud Computing

Meta Reinforcement Learning Framework for Predictive Autoscaling in Cloud Environments

This article presents a cloud-native, end‑to‑end autoscaling solution that integrates traffic forecasting, CPU utilization meta‑prediction, and a reinforcement‑learning‑based scaling decision module into a fully differentiable system, achieving higher resource utilization and cost efficiency as demonstrated by ACM SIGKDD 2022 research.

autoscalingcapacity-managementcloud computing
0 likes · 10 min read
Meta Reinforcement Learning Framework for Predictive Autoscaling in Cloud Environments
TAL Education Technology
TAL Education Technology
May 26, 2022 · Artificial Intelligence

GoodFuture International Algorithm Team Wins Champion and Runner‑up in the 5th Educational Data Mining Workshop

The GoodFuture International Algorithm Team, together with Jinan University Guangdong Smart Education Research Institute, distinguished themselves among 95 global teams in the 5th Educational Data Mining in Computer Science Education Workshop, securing a champion title in one task and a runner‑up in another, showcasing advanced AI‑driven predictive and recommendation techniques for intelligent student assessment.

Artificial IntelligenceEducational Data MiningRecommendation systems
0 likes · 6 min read
GoodFuture International Algorithm Team Wins Champion and Runner‑up in the 5th Educational Data Mining Workshop
Full-Stack Internet Architecture
Full-Stack Internet Architecture
Nov 6, 2021 · Big Data

Why User Profiling Projects Fail: Common Pitfalls and Deep Causes

The article analyzes why user profiling initiatives frequently collapse, highlighting surface mistakes such as confusing past behavior with future predictions, mixing behavior with motivation, and mistaking correlation for causation, while also exposing deeper issues like unrealistic business expectations, over‑reliance on static tags, and insufficient predictive modeling and causal analysis.

Big DataBusiness Intelligencedata analysis
0 likes · 9 min read
Why User Profiling Projects Fail: Common Pitfalls and Deep Causes
DataFunSummit
DataFunSummit
Jul 28, 2021 · Fundamentals

Understanding User Lifetime Value (LTV) and Its Calculation Methods

This article explains the concept of User Lifetime Value (LTV), its importance in modern business, the stages of a user’s lifecycle, key characteristics of LTV, the problems it can solve, and various analytical methods—from simple arithmetic formulas to machine‑learning and neural‑network models—for estimating LTV.

LTVUser Lifetime Valuebusiness analytics
0 likes · 12 min read
Understanding User Lifetime Value (LTV) and Its Calculation Methods
JD Tech Talk
JD Tech Talk
May 12, 2020 · Artificial Intelligence

Designing, Building, and Evaluating an Action Model for Decision Optimization

This article explains how to design, construct, and evaluate an Action Model that quantifies the impact of business decisions on long‑term profit, covering variable selection, model assumptions, algorithm choices, data challenges, and practical evaluation methods such as offline metrics and A/B testing.

Action Modeldata analysisdecision optimization
0 likes · 11 min read
Designing, Building, and Evaluating an Action Model for Decision Optimization
JD Retail Technology
JD Retail Technology
Jun 18, 2019 · Big Data

JD Cup 2019: Big Data Predictive Modeling Competition Highlights and Outcomes

The 2019 JD Cup Tianjin Innovation and Entrepreneurship Challenge attracted 1,629 teams and 2,927 participants worldwide, featuring a high‑profile big‑data forecasting task on user purchases that received 3,917 submissions and showcased JD's data‑driven marketing solutions and AI‑powered predictive models.

Big DataMarketingcompetition
0 likes · 5 min read
JD Cup 2019: Big Data Predictive Modeling Competition Highlights and Outcomes
Youku Technology
Youku Technology
Apr 22, 2019 · Artificial Intelligence

Exploring the Construction of an Entertainment Brain: AI and Big Data Practices in the Fish Brain Platform

The talk introduces Alibaba’s Fish Brain platform, an AI‑powered decision‑support system for entertainment that combines a three‑layer data‑model, AI‑processed basic data, and application models, leveraging NLP, computer‑vision, custom embeddings, loss functions and predictive hybrid networks to analyze content, user behavior, and forecast performance.

AIBig DataNLP
0 likes · 12 min read
Exploring the Construction of an Entertainment Brain: AI and Big Data Practices in the Fish Brain Platform
Qunar Tech Salon
Qunar Tech Salon
Aug 14, 2015 · Big Data

The Nine Laws of Data Mining: Principles, Processes, and Insights

This article presents nine fundamental laws of data mining—covering goals, knowledge, preparation, experimentation, patterns, insight, prediction, value, and change—explaining how business objectives and domain expertise drive each stage of the CRISP‑DM process and why technical metrics alone cannot guarantee success.

CRISP-DMData Miningbusiness knowledge
0 likes · 19 min read
The Nine Laws of Data Mining: Principles, Processes, and Insights