Walaa Eldin Moustafa

San Francisco Bay Area Contact Info
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About

I build distributed, declarative database management engines that enable modern…

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Publications

  • Datalography: Scaling Datalog Graph Analytics on Graph Processing Systems

    IEEE Big Data

    Other authors
  • A Social Network-Based Approach for GUI Testing

    ICST 2010 Workshop on Techniques & Experimentation Benchmarks for Event-Driven Software

    Other authors
  • Declarative Analysis of Noisy Information Networks

    ICDE Graph Data Management Workshop 2011

    Other authors
  • Ego-centric Graph Pattern Census,

    ICDE 2012

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  • GrDB: A System for Declarative and Interactive analysis of Noisy Information Networks

    SIGMOD 2013

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  • Learning to Predict Web Collaborations

    WSDM 2011 Workshop on User Modeling for Web Applications

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  • Structure Selection from Streaming Relational Data

    Technical Report CoRR abs/1108.5717: 2011

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  • Subgraph Pattern Matching over Uncertain Graphs with Identity Linkage Uncertainty

    ICDE 2014

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  • Traveler's Predictive Route Guidance Using Vehicle-to-Vehicle Communication

    ICWN 2008

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Patents

  • Distributed Graph Database Writes

    Filed US LI-P2328.LNK.US

  • Compound Indexes for Graph Databases

    Filed US LI-P2328.LNK.US

  • Supporting Tuples in Log-based Representations of Graph Databases

    Issued US LI-P2289.LNK.US

  • Functional Equivalence of Tuples and Edges in Graph Databases

    Filed US LI-P2288.LNK.US

  • Processing Aggregate Queries in a Graph Database

    Filed US LI-P2297.LNK.US

  • Transforming and Evaluating Missing Values in Graph Databases

    Filed US 15334548

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Projects

  • Decision Tree Views for Data Streams

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    In this project, we embed decision tree models into streaming DBMS. We show how lazy incremental view maintenance can be achieved by the employment of TreeMerge Algorithms.

  • Declarative Network Analysis for Very Large Graphs

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    In this research, we describe a declarative language and implementation for analyzing large information networks. Network measures are defined declaratively, and efficiently maintained with respect to the underlying graph changes.

  • Deductive Database System on top of Berkeley DB Key/Value store

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    In this project, I built a full-fledged deductive database management system on top of Berkeley DB key/value store. The system implements most of database operators like table scan, index scan, hash join, merge join, group by, sorting, projection, and top k.

  • Graph Pattern Query Language

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    In this project, I design and implement a declarative graph pattern query language to analyze and study properties of nodes in a graph by searching structural patterns in their neighborhoods. The implementation is done on top of Neo4j graph engine, and implements an array of novel subgraph pattern matching algorithms and aggregation methods to report the number of matches found in local node neighborhoods.

  • Merging Decision Trees

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    In this project, we propose a decision tree learning algorithm called Tree Merge. In this algorithm, we merge two decision trees that have been already built on two different sets of data without having to combine the two original data sets.

  • Privacy of Location Information in Location-Based Services

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    In this project we utilize vehicular ad hoc networks to achieve location privacy. We eliminate the need of a central location anonymizer where moving vehicles, collaboratively, cloak their information to achieve privacy.

  • Querying Uncertain Large Graphs

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    In this project, I design and implement a system for querying large uncertain graphs with identity uncertainty. We use novel indexing techniques and query optimization methods to enable querying probabilistic graphs of millions of edges on a single machine and reporting the results in seconds.

  • Social Network Analysis of Software Repositories for Expertise Finding and Bug Triage

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    In this research, we describe social network analysis approaches for ranking and locating experts in the domain of software development. Approaches involve network visualization, importance ranking, and link prediction.

  • The Skoll Large Scale Software Testing Project

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    The aim of this project is to redesign traditional testing processes so that they can be executed around-the-world, around-the-clock. These processes are logically divided into multiple tasks that are distributed around clients and results are returned to central collection sites where they are merged and analyzed to complete the overall QA process.

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