Multidimensional Dataset Segmentation for Web Traffic Analysis
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Solution Overview
Problem
Analyzing and visualizing large multidimensional web traffic datasets is challenging due to their complexity, making it difficult for information analysts to extract valuable insights for optimizing website performance.
Innovation Solution
A computer-implemented method and system for segmenting multidimensional datasets, allowing users to define dataset segment schemes with user-specified filters, which are applied to select and aggregate relevant data records, enabling efficient data visualization and reporting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the volume of traffic data is significant or the metadata includes a large number of dimensions and metric attributes, then the dataset contains more comprehensive information, but the exercise of searching information within the multidimensional dataset becomes non-trivial and more difficult
Solution Approach 1:
The patent applies segmentation by dividing the complex multidimensional dataset into multiple segments or partitions based on dimension attributes. This allows analysts to work with smaller, more manageable subsets of data while maintaining the ability to access comprehensive information through coordinated segment queries, thereby reducing search difficulty without sacrificing data completeness.
2Loss of information
If the metadata includes a large number of dimensions and metric attributes, then the dataset provides more detailed information, but the complexity of visualizing different subsets of the multidimensional dataset increases
Solution Approach 1:
The patent segments the multidimensional metadata space into manageable subsets that can be visualized separately. By dividing the complex metadata structure into smaller units with fewer dimensions and attributes, the system enables effective visualization of each subset while preserving access to the complete information set through aggregation of multiple segment visualizations.
Data Source
AI summary
A computer-implemented method for generating and sharing dataset segment schemes of a multidimensional dataset at a client device is provided. The client device displays a first filter definition template and an attribute list. Upon detecting a user selection of a first attribute, the client device displays the first attribute and one or more candidate filter conditions in the first filter definition template. Upon detecting a user selection of a first filter condition in the first filter definition template, the client device submits a segment scheme generation request to the server system and receives from the server system a first segment identifier; and displays a first segment link at the client device, the first segment link including the first segment identifier.