Graph-based knowledge fusion is a technique for combining information from different sources by representing data as nodes and relationships in a graph structure. This method helps identify overlaps, resolve conflicts, and create a unified view of knowledge from multiple datasets. By using graphs, it becomes easier to visualise and manage complex connections between pieces of…
Category: Data Science
Multi-Modal Data Fusion
Multi-modal data fusion is the process of combining information from different types of data sources, such as images, text, audio, or sensor readings, to gain a more complete understanding of a situation or problem. By integrating these diverse data types, systems can make better decisions and provide more accurate results than using a single source…
Knowledge Fusion Techniques
Knowledge fusion techniques are methods used to combine information from different sources to create a single, more accurate or useful result. These sources may be databases, sensors, documents, or even expert opinions. The goal is to resolve conflicts, reduce errors, and fill in gaps by leveraging the strengths of each source. By effectively merging diverse…
Simulation Modeling
Simulation modelling is a method used to create a virtual version of a real-world process or system. It allows people to study how things work and make predictions without affecting the actual system. By adjusting different variables in the model, users can see how changes might impact outcomes, helping with planning and problem-solving.
Sales Forecasting Automation
Sales forecasting automation uses technology to predict future sales by analysing past data and current market trends. This process replaces manual calculations with software or AI tools, helping businesses estimate upcoming revenue more quickly and accurately. Automating sales forecasts allows companies to make better decisions about inventory, staffing, and budgeting, reducing the risk of errors…
Supply Chain Analytics
Supply chain analytics is the process of collecting and analysing data from various stages of a supply chain to improve efficiency and decision-making. It helps organisations understand trends, predict potential problems, and make better choices about inventory, transportation, and supplier relationships. By using data, companies can reduce costs, avoid delays, and respond more quickly to…
Demand Forecasting
Demand forecasting is the process of estimating how much of a product or service customers will want in the future. It helps businesses plan production, manage inventory, and make informed decisions. Accurate forecasting reduces waste, saves money, and ensures products are available when needed.
Sentiment Analysis Framework
A sentiment analysis framework is a structured system or set of tools used to determine the emotional tone behind a body of text. It helps to classify opinions expressed in text as positive, negative, or neutral. These frameworks often use language processing techniques and machine learning to analyse reviews, comments, or any written feedback.
Personalization Strategy
A personalisation strategy is a plan that guides how a business or organisation adapts its products, services or communications to fit the specific needs or preferences of individual customers or groups. It involves collecting and analysing data about users, such as their behaviour, interests or purchase history, to deliver more relevant experiences. The aim is…
Data Annotation Standards
Data annotation standards are agreed rules and guidelines for labelling data in a consistent and accurate way. These standards help ensure that data used for machine learning or analysis is reliable and meaningful. By following set standards, different people or teams can annotate data in the same way, making it easier to share, compare, and…