Graph-based clustering is a method of grouping items by representing them as points, called nodes, and connecting similar ones with lines, called edges, to form a network or graph. The method looks for clusters, which are groups of nodes that are more closely linked to each other than to the rest of the network. This…
Subgraph matching algorithms are methods used to find if a smaller graph, called a subgraph, exists within a larger graph. They compare the structure and connections of the nodes and edges to identify matches. These algorithms are important in fields where relationships and patterns need to be found within complex networks, such as social networks,…
Graph-Based Recommendation Systems use graphs to model relationships between users, items, and other entities. In these systems, users and items are represented as nodes, and their interactions, such as likes or purchases, are shown as edges connecting them. By analysing the structure of these graphs, the system can find patterns and suggest items to users…
Off-policy evaluation is a technique used to estimate how well a new decision-making strategy would perform, without actually using it in practice. It relies on data collected from a different strategy, called the behaviour policy, to predict the outcomes of the new policy. This is especially valuable when testing the new strategy directly would be…
A knowledge graph is a way of organising information that connects facts and concepts together, showing how they relate to each other. It uses nodes to represent things like people, places or ideas, and links to show the relationships between them. This makes it easier for computers to understand and use complex information, helping with…
Sentiment analysis systems are computer programmes that automatically identify and interpret the emotional tone behind pieces of text. They determine whether the sentiment expressed is positive, negative, or neutral, and sometimes even more detailed moods. These systems are commonly used to analyse texts such as social media posts, reviews, and customer feedback to understand public…
Customer Feedback Analytics is the process of collecting and examining feedback from customers to understand their opinions, needs, and experiences. This analysis helps businesses identify patterns and trends in customer satisfaction, complaints, and suggestions. By using this information, organisations can make informed decisions to improve products, services, and customer support.
Personalisation engines are software systems that analyse user data to recommend products, content, or experiences that match individual preferences. They work by collecting information such as browsing habits, previous purchases, and demographic details, then using algorithms to predict what a user might like next. These engines help businesses offer more relevant suggestions, improving engagement and…
Process performance monitoring is the ongoing activity of checking how well a business process is working. It involves collecting data about each step in the process and comparing actual results against expected outcomes. This helps organisations identify bottlenecks, inefficiencies, or errors so they can make improvements and ensure processes run smoothly.
Process simulation modelling is the creation of computer-based models that mimic real-life processes, such as manufacturing, logistics, or chemical production. These models allow people to test how a process would work under different conditions without actually running the process in real life. By using simulation, businesses and engineers can spot problems, improve efficiency, and make…