Adaptive Data Mining System for Real-Time Unindexed Source Analysis
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Solution Overview
Problem
Current data mining technologies are limited in analyzing real-time data across multiple sources, particularly due to their inability to search unindexed web pages and proprietary data silos, which restricts their effectiveness in providing comprehensive and timely insights.
Innovation Solution
A method and system for generating and expanding queries based on topics of interest, executing them across various data sources, including both open-source and proprietary data, and monitoring selected sources for matches, enabling real-time data extraction and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If typical search engines are used to query data, then the search is limited to exact search terms and indexed web sites, but the ability to analyze multiple data points in real time and access unindexed data sources is lost
Solution Approach 1:
The system creates a universal data mining platform that performs multiple functions: executing structured queries on indexed data, crawling unindexed web pages, accessing proprietary data silos, and performing real-time monitoring across all these diverse data sources through a single integrated architecture
Solution Approach 2:
The patent introduces intermediary components including a data source registry that mediates between query execution engines and various data sources, and a crawler system that acts as an intermediary to access unindexed pages and proprietary data silos that traditional search engines cannot reach
2Productivity
If traditional data mining systems are used, then the system structure is simple, but the ability to perform real-time monitoring and analysis across multiple data sources is insufficient
Solution Approach 1:
The system is segmented into distinct functional modules: query execution engines for structured data, crawler systems for unindexed pages, data source registries for management, and real-time monitoring components. Each module handles specific tasks independently, enabling real-time processing across multiple data sources while maintaining manageable complexity through modular design
Solution Approach 2:
The patent adds temporal dimensionality by implementing continuous real-time monitoring alongside traditional batch processing, and structural dimensionality by organizing data sources into a registry hierarchy that enables systematic access across multiple dimensions of data availability
3Ease of operation
If query execution is limited to exact search terms, then the search process is simple, but the ability to expand search terms and discover related information is restricted
Solution Approach 1:
The system performs preliminary actions by automatically expanding search terms with synonyms and related concepts before executing queries, and by pre-crawling and indexing unindexed web pages so that information is readily available when queries are executed, reducing information loss without complicating user operations
Data Source
AI summary
A method of analyzing data is presented. The method includes generating a query based on a topic of interest, expanding search terms of the query, executing the query on one or more data sources, monitoring a specific data source selected from the one or more data sources. The monitoring is performed to monitor for matches to the query.