Search Results for "pdf data mining" - Page 3
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Showing 57 open source projects for "pdf data mining"
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Stop vibe-debugging.AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
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Stop Cyber Threats with VM-Series Next-Gen Firewall on AzureGain integrated visibility across all traffic in a single pass. Deploy Palo Alto Networks VM-Series to determine application identity and content while automating security policy updates via rich APIs.
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JDMF is a data mining framework written in Java. Main features include: simplicity, flexibility, many algorithms to choose from, many formats of input (e.g. XML, CSV, JDBC, Java beans) and output data (e.g. XML, plain text info, charts).
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opensource reporting server and client interface. it is about to allocate multiple datasources e.g. databases, web services, ... the result can be rendered in nearly every output format (office/pdf/...)
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AlphaMiner is an open source data mining platform that offers versatile data mining model building and data cleansing features with an user friendly workflow interface.
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Centre is a synthetic trajectory generator environment that aim to generate semantic-based trajectory datasets usable for spatio-temporal data-mining algorithms in testing and validation process.
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Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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txtkit is a visual text mining tool for exploring large amounts of multilingual texts. It's an multiuser-application which mainly focuses on the process of reading and reasoning as series of decisions and events.
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OpenGMP is an open service platform for implementing advanced decision support solutions for the mining enterprise.
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The Watermarks is a java library for images and text watermarking fingerprinting and tamper-proofing. The supported carrier formats for a watermark are JPEG and PDF. The project also aim to build a test environment to evaluate robustness of implemented a