Search Results for "searching system with algorithm in java"
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Showing 6 open source projects for "searching system with algorithm in java"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Comet Backup - Fast, Secure Backup Software for MSPsComet is a flexible backup platform, giving you total control over your backup environment and storage destinations.
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This project aims at creating an open source chemistry plugin / cartridge for the relational database system Oracle. Free Oracle chemistry cartridge.
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JQuickBase
elementary database files for Java, B+ tree index files, ISAM
Java API to realize quick ISAM (Index Sequential Access Method) functionality for application in the file system. Includes scalable database files w/ space recovery and variable record length, scalable B+Tree index files. Supports file backup and restore. Two package types: one with and one without strong file encryption using Twofish algorithm and state-of-the-art encryption technology. -
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CliqueSquare
Distributed RDF Processing over Hadoop
CliqueSquare is a system for storing and querying large RDF graphs relying on Hadoop’s distributed file system (HDFS) and Hadoop’s MapReduce open-source implementation. It provides a novel partitioning and storage scheme that permits 1-level joins to be evaluated locally using efficient map-only joins. In addition, CliqueSquare is equipped with a unique optimization algorithm based on graphs and cliques capable of generating highly parallelizable flat query plans relying on n-ary equality joins. -
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once:radix is a Rapid Application Development system for Intranet and eXtranet environments. Create advanced database-driven web applications that require no expertise in the underlying technologies. Just point and click with pixel-perfect precision.
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Turn traffic into pipeline and prospects into customersDocket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
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Whirlwind is a fuzzy matching database engine capable of providing human-like search results that make life much easier for users of websites searching for things like cars, houses, people and jobs.
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A set of software components used to investigate and implement searching of music and audio. This covers content-based retrieval and meta-data based solutions, segmentation and content selection (summarisation) of audio and music (MIDI, MP3 and WAV).
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