C. Jimmy Lin
Johns Hopkins University
H-index: 112
North America-United States
About C. Jimmy Lin
C. Jimmy Lin, With an exceptional h-index of 112 and a recent h-index of 58 (since 2020), a distinguished researcher at Johns Hopkins University, specializes in the field of Cancer Genomics, Rare Genomics.
His recent articles reflect a diverse array of research interests and contributions to the field:
Data-intensive text processing with MapReduce
C. Jimmy Lin Information
University | Johns Hopkins University |
---|---|
Position | Johns Hopkins School of Medicine |
Citations(all) | 77097 |
Citations(since 2020) | 21627 |
Cited By | 66325 |
hIndex(all) | 112 |
hIndex(since 2020) | 58 |
i10Index(all) | 789 |
i10Index(since 2020) | 371 |
University Profile Page | Johns Hopkins University |
C. Jimmy Lin Skills & Research Interests
Cancer Genomics
Rare Genomics
Top articles of C. Jimmy Lin
Data-intensive text processing with MapReduce
Authors
Jimmy Lin,Chris Dyer
Published Date
2022/5/31
Our world is being revolutionized by data-driven methods: access to large amounts of data has generated new insights and opened exciting new opportunities in commerce, science, and computing applications. Processing the enormous quantities of data necessary for these advances requires large clusters, making distributed computing paradigms more crucial than ever. MapReduce is a programming model for expressing distributed computations on massive datasets and an execution framework for large-scale data processing on clusters of commodity servers. The programming model provides an easy-to-understand abstraction for designing scalable algorithms, while the execution framework transparently handles many system-level details, ranging from scheduling to synchronization to fault tolerance. This book focuses on MapReduce algorithm design, with an emphasis on text processing algorithms common in natural language processing, information retrieval, and machine learning. We introduce the notion of MapReduce design patterns, which represent general reusable solutions to commonly occurring problems across a variety of problem domains. This book not only intends to help the reader" think in MapReduce", but also discusses limitations of the programming model as well. Table of Contents: Introduction/MapReduce Basics/MapReduce Algorithm Design/Inverted Indexing for Text Retrieval/Graph Algorithms/EM Algorithms for Text Processing/Closing Remarks
C. Jimmy Lin FAQs
What is C. Jimmy Lin's h-index at Johns Hopkins University?
The h-index of C. Jimmy Lin has been 58 since 2020 and 112 in total.
What are C. Jimmy Lin's top articles?
The articles with the titles of
Data-intensive text processing with MapReduce
are the top articles of C. Jimmy Lin at Johns Hopkins University.
What are C. Jimmy Lin's research interests?
The research interests of C. Jimmy Lin are: Cancer Genomics, Rare Genomics
What is C. Jimmy Lin's total number of citations?
C. Jimmy Lin has 77,097 citations in total.
What are the co-authors of C. Jimmy Lin?
The co-authors of C. Jimmy Lin are Mark Gerstein, Simina Boca.