A La Carte ACM SIG Subscriptions for Libraries

Pricing effective July 1, 2017.

Option of delivery via Expedited Air is available for deliveries outside of North America.

 

Special Interest Group Issues per Year Subscriber Rate Add Optional Rate for Air Delivery
SIGACCESS (Accessible Computing)** 3 $35 n/a
SIGACT (Algorithms & Computational Theory) Print & Online 4 $18 $12
SIGADA (Special Interest Group on Ada ) 2 $53 $17
SIGAI (Artificial Intelligence)** 4 $35 n/a
SIGARCH (Computer Architecture) Online 5 $11 n/a
SIGBED (Embedded Systems)** 4 $20 n/a
SIGBIO (SIGBioinformatics) 3 $35 n/a
SIGCAS (Computers and Society)** 4 $56 n/a
SIGCHI (Computer-Human Interaction)** 12 $60 n/a
SIGCSE (Computer Science Education) Print 4 $45 $19
SIGCSE (Computer Science Education) Online 4 n/a n/a
SIGDOC (Systems Documentation)** 4 $45 n/a
SIGecom (Electronic Commerce)** 4 $30 n/a
SIGEVO (Genetic & Evolutionary Computation)** 2 $25 n/a
SIGGRAPH (Computer Graphics) Online 4 $110 n/a
SIGHPC (High Performance Computing) 3 n/a n/a
SIGIR (Information Retrieval) 3 $30 $14
SIGITE (Information Technology Education)** 2 $23 n/a
SIGKDD (Knowledge Discovery in Data) 2 $30 $8
SIGLOG (Logic and Computation)** 4 $25 n/a
SIGMETRICS (Measurement & Evaluation) 4 $25 $11
SIGMIS (Management Information Systems) 4 $69 $19
SIGMM (Multimedia)* 4 $30 n/a
SIGMOBILE (Mobility of Systems, Users, Data & Computing) 4 $37 $5
SIGMOD (Management of Data) Print 4 $40 $19
SIGOPS (Operating Systems) Print 1 $30 $12
SIGOPS (Operating Systems) Online 1 n/a n/a
SIGPLAN (Programming Languages) Print* 12 $150 $55
FORTRAN FORUM (Newsletter) 3 $20 $10
SIGSAC (Security, Audit & Control)* 1 $35 $9
SIGSAM (Symbolic & Algebraic Manipulation) 4 $32 $8
SIGSIM (Simulation and Modeling)* 1 $29 $7
SIGSOFT (Software Engineering) Print 6 $40 $20
SIGSOFT (Software Engineering) Oline 6 n/a n/a
SIGSPATIAL (Spatial Information) ** 2 n/a n/a
SIGUCCS (University and College Computing Services)* 1 $29 $5
SIGWEB (Hypertext/Hypermedia)** 1 $34 n/a


* Proceedings distributed in lieu of a newsletter.
** Electronic Publication Only.

 

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Prediction-Serving Systems

ACM Queue’s “Research for Practice” is your number one resource for keeping up with emerging developments in the world of theory and applying them to the challenges you face on a daily basis. In this installment, Dan Crankshaw and Joey Gonzalez provide an overview of machine learning server systems. What happens when we wish to actually deploy a machine learning model to production, and how do we serve predictions with high accuracy and high computational efficiency? Dan and Joey’s curated research selection presents cutting-edge techniques spanning database-level integration, video processing, and prediction middleware. Given the explosion of interest in machine learning and its increasing impact on seemingly every application vertical, it's possible that systems such as these will become as commonplace as relational databases are today.