Keyphrases
Atacama
30%
Autoregressive Integrated Moving Average (ARIMA)
30%
Category Management
30%
Chilean
25%
Cross-category
9%
Demand Forecast
30%
Demand Forecasting
45%
Efficient Scheduling
15%
Excellent Performance
15%
Forecasting Techniques
39%
Future Demand
30%
Hybrid Demand
30%
Hybrid Intelligent Systems
15%
Hybrid System
30%
Inventory Level
15%
Light Gradient Boosting Machine
15%
Machine Learning
37%
Machine Learning Models
30%
Management Approach
9%
Market Basket Analysis
30%
Millimeter-submillimeter
30%
Multi-period Portfolio Selection
30%
Network Model
30%
Neural Nets
20%
Neural Network
45%
Operations Management
30%
Passenger Satisfaction
30%
Portfolio Optimization
30%
Prediction Accuracy
22%
Processing Task
15%
Processing Time
22%
Product Category
30%
Product Sales
15%
Public Transportation
30%
Random Forest Regression
12%
Reliable Estimation
15%
Replenishment Systems
30%
Retailers
25%
Revenue Management
30%
Sales Failure
15%
Sharpe Ratio
30%
Shopping Basket
9%
Stock Market
30%
Submillimeter Array
30%
Supermarkets
35%
Supply Chain Management
45%
Transaction Costs
30%
Transit Service
12%
Treynor Ratio
20%
Uncertainty Estimation
30%
INIS
accuracy
7%
applications
9%
buses
15%
business
18%
chains
39%
comparative evaluations
37%
cost
30%
data
17%
data processing
30%
demand
60%
dynamics
7%
efficiency
7%
failures
7%
forecasting
56%
forests
39%
hybrid systems
17%
hybrids
60%
inventories
7%
levels
12%
machine learning
60%
management
100%
market
60%
marketing
18%
neural networks
35%
operation
15%
output
9%
passengers
30%
performance
17%
pipelines
7%
prediction
72%
processing
22%
productivity
7%
randomness
9%
range
6%
reduction
7%
reliability
7%
resource management
7%
retailers
30%
risks
18%
sales
17%
scaling
13%
solutions
15%
stochastic processes
7%
stocks
30%
supply
39%
tools
12%
trade
11%
transformations
7%
values
11%
yields
9%
Computer Science
Computational Experiment
15%
Data Processing
30%
Discrete Choice Model
6%
Dynamic Nature
7%
Execution Pipeline
7%
forecasting accuracy
15%
Forecasting Method
15%
Gradient Boosting
15%
Inventory Level
15%
Learning System
37%
Linear Relationship
6%
Long Short-Term Memory Network
30%
Machine Learning
37%
Machine Learning Technique
7%
Massive Datasets
6%
Moving Average
15%
Neural Network
75%
Objective Function
30%
Operational Efficiency
7%
Performance Model
7%
Practical Solution
7%
Predictive Model
7%
Problem Selection
30%
Processing Task
15%
Processing Time
22%
Public Transportation
30%
Quality Standard
6%
Random Decision Forest
12%
Structural Equation
6%
Supply Chain
45%
Traditional Method
7%
Uncertainty Estimation
30%
