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Association for Computing Machinery

Articles Tagged: Information systems applications

Articles & Features

Is your research reproducible?

DEPARTMENT: Blogs

Is your research reproducible?

The XRDS blog highlights a range of topics from conference coverage, to security and privacy, to CS theory. Selected blog posts, edited for print, are featured in every issue. Please visit xrds.acm.org/blog to read each post in its entirety. If you are interested in joining as a student blogger, please contact us.

By Abdelrahman Hosny, June 2016

PDF | HTML | In the Digital Library

Sorry kids, Iron Man's superpowers aren't unique

DEPARTMENT: Hello World

Sorry kids, Iron Man's superpowers aren't unique

By Lara Zupan, Marinka Zitnik, November 2015

PDF | HTML | In the Digital Library

A fleeting sense of security<br />or security as a science (and how to make your boss understand)

Fighting disease with data

SECTION: Features

Fighting disease with data

Recent advances in genome typing and sequencing technologies have enabled quick generation of a vast amount of molecular data at very low cost. The mining and computational analysis of this type of data can help shape new diagnostic and therapeutic strategies in biomedicine.

By Marina Sirota, Bin Chen, July 2015

PDF | HTML | In the Digital Library

Advancing the frontier of data-driven healthcare

Advancing the frontier of data-driven healthcare

Suchi Saria of Johns Hopkins University shares how big data and machine learning can help improve the practice of healthcare, and how computing students can contribute.

By Narges Razavian, July 2015

PDF | HTML | In the Digital Library

Digital drivers in the age of massive datasets

Digital drivers in the age of massive datasets

How technology enables the data geek in life sciences and healthcare.

By Sarah Aerni, Hulya Farinas, Gautam Muralidhar, July 2015

PDF | HTML | In the Digital Library

Hidden Genes: Understanding cancer data with matrix factorization

Gathering people to gather data

SECTION: Features

Gathering people to gather data

An interview with Paul Wicks, Vice President of Innovation at PatientsLikeMe, a patient network and real-time research platform.

By Diana Lynn MacLean, December 2014

PDF | HTML | In the Digital Library

Opportunities of social media in health and well-being

Opportunities of social media in health and well-being

Intelligently leveraging data from millions of social media posts is a modern public health approach that has the potential to save many lives.

By Munmun De Choudhury, December 2014

PDF | HTML | In the Digital Library

Miriam Plieninger on language learning with Babbel

Miriam Plieninger on language learning with Babbel

Babbel's Director of Didactics, Miriam Plieninger, weighs in on how mobile apps are rapidly changing the way we approach language learning.

By Daniel Bauer, Billy Rathje, October 2014

PDF | HTML | In the Digital Library

An Illustrated Primer in Differential Privacy

An Illustrated Primer in Differential Privacy

The vast amounts of data that are now available provide new opportunities to social science researchers, but also raise huge privacy concerns for data subjects. Differential privacy offers a way to balance the needs of both parties. But how?

By Christine Task, September 2013

PDF | HTML | In the Digital Library

Cynthia Dwork on Differential Privacy

Cynthia Dwork on Differential Privacy

Distinguished Scientist at Microsoft Research, Dr. Cynthia Dwork, provides a first-hand look at the basics of differential privacy.

By Michael Zuba, September 2013

PDF | HTML | In the Digital Library

Using the Twitter API to mine the Twitterverse

DEPARTMENT: Hello world

Using the Twitter API to mine the Twitterverse

By Robert Aboukhalil, June 2013

PDF | HTML | In the Digital Library

Graphics editing software

DEPARTMENT: Back

Graphics editing software

By Finn Kuusisto, June 2013

PDF | HTML | In the Digital Library

Scientific computing

COLUMN: INIT

Scientific computing

By Nick Knight, Jack Poulson, March 2013

PDF | HTML | In the Digital Library

Sketching and streaming algorithms for processing massive data

SECTION: Features

Sketching and streaming algorithms for processing massive data

The rate at which electronic information is generated in the world is exploding. In this article we explore techniques known as sketching and streaming for processing massive data both quickly and memory-efficiently.

By Jelani Nelson, September 2012

PDF | HTML | In the Digital Library

Big privacy

Big privacy

Approaches from computer science and statistical science for assessing and protecting privacy in large, public data sets.

By Ashwin Machanavajjhala, Jerome P. Reiter, September 2012

PDF | HTML | In the Digital Library

Peregrine: Low-latency queries on Hive warehouse data

Peregrine: Low-latency queries on Hive warehouse data

How Facebook is analyzing big data.

By Raghotham Murthy, Rajat Goel, September 2012

PDF | HTML | In the Digital Library

Interactive analysis of big data

Interactive analysis of big data

New user interfaces can transform how we work with big data, and raise exciting research problems that span human-computer interaction, machine learning, and distributed systems.

By Jeffrey Heer, Sean Kandel, September 2012

PDF | HTML | In the Digital Library

Big data in computational biology

Big data in computational biology

An invitation to the digital science of life.

By Cliburn Chan, September 2012

PDF | HTML | In the Digital Library

Automated DNA sequencers

DEPARTMENT: Back

Automated DNA sequencers

By Finn Kuusisto, September 2012

PDF | HTML | In the Digital Library

Want a tenure?

SECTION: Features

Want a tenure?

Why running a startup is a lot like building a research lab.

By Eldar Sadikov, Montse Medina, June 2012

PDF | HTML | In the Digital Library

Inventing open government

Inventing open government

Internet startup POPVOX connects constituents to Congress in a play to disrupt the world of advocacy.

By Joshua Tauberer, December 2011

PDF | HTML | In the Digital Library

Using software to liberate U.S. case law

Using software to liberate U.S. case law

Although public information is open, it is not always easily accessible.

By Harlan Yu, Stephen Schultze, December 2011

PDF | HTML | In the Digital Library

Analyzing EEG data

DEPARTMENT: Hello world

Analyzing EEG data

By Dmitry Batenkov, September 2011

PDF | HTML | In the Digital Library

Web maps of renewable energy

Web maps of renewable energy

By Dmitry Batenkov, June 2011

PDF | HTML | In the Digital Library

Achieving I/O improvements in a mass spectral database

Research in proteomics has created two significant needs: the need for an accurate public database of empirically derived mass spectrum information and the need for managing the I/O and organization of mass spectrometry data in the form of files and structures. Lack of an empirically derived database limits the ability of proteomic researchers to identify and study proteins. Managing the I/O and organization of mass spectrometry data is often time-consuming due to the many fields that need to be set and retrieved. As a result, incompatibilities and inefficiencies are created by each programmer handling this in his or her own way. Until recently, storage space and computing power has been the limiting factor in developing tools to handle the vast amount of mass spectrometry information. Now the resources are available to store, organize, and analyze mass spectrometry information.The Illinois Bio-Grid Mass Spectrometry Database is a database of empirically derived tandem mass spectra of peptides created to provide researchers with an organized and searchable database of curated spectrum information to allow more accurate protein identification. The Mass Spectrometry I/O Project creates a framework that handles mass spectrometry data I/O and data organization, allowing researchers to concentrate on data analysis rather than I/O. In addition, the Mass Spectrometry I/O Project leverages several cross-platform and portability-enhancing technologies, allowing it to be utilized on a variety of hardware and operating systems.

By Eric Puryear, Jennifer Van Puymbrouck, David Sigfredo Angulo, Kevin Drew, Lee Ann Hollenbeck, Dominic Battre, Alex Schilling, David Jabon, Gregor von Laszewski, December 2006

PDF | HTML | In the Digital Library

Desktop open source

By Bryan Stroubeé, May 2006

PDF | HTML | In the Digital Library

Objective viewpoint

By Kevin Henry, March 2001

PDF | HTML | In the Digital Library

Applications of AI in education

By Joseph Beck, Mia Stern, Erik Haugsjaa, September 1996

PDF | HTML | In the Digital Library