Stem motif$ (all stems)

46 papers:

SIGMOD-2015-GurukarRR #approach #commit #communication #mining #named #network #scalability

COMMIT: A Scalable Approach to Mining Communication Motifs from Dynamic Networks (SG, SR, BR), pp. 475–489.

CHI-2015-KimDLBS #named

Motif: Supporting Novice Creativity through Expert Patterns (JK, MD, WL, MSB, DS), pp. 1211–1220.

SAC-2015-ChoobdarRS #network

Discovering weighted motifs in gene co-expression networks (SC, PMPR, FMAS), pp. 10–17.

VLDB-2014-GuptaSGGZLL #detection #graph #online #realtime #recommendation #scalability #twitter

Real-Time Twitter Recommendation: Online Motif Detection in Large Dynamic Graphs (PG, VS, AG, SG, VZ, QL, JL), pp. 1379–1380.

VLDB-2015-BegumK14 #bound

Rare Time Series Motif Discovery from Unbounded Streams (NB, EJK), pp. 149–160.

ICEIS-v1-2014-ChinoGRTT #named #scalability

TrieMotif — A New and Efficient Method to Mine Frequent K-Motifs from Large Time Series (DYTC, RRdVG, LASR, CTJ, AJMT), pp. 60–69.

CHI-2013-DunneS #clique #network #readability #visualisation

Motif simplification: improving network visualization readability with fan, connector, and clique glyphs (CD, BS), pp. 3247–3256.

CIKM-2013-SahliMK #parallel #sequence

Parallel motif extraction from very long sequences (MS, EM, PK), pp. 549–558.

SIGIR-2013-SekiM #feedback #social #using

Finding impressive social content creators: searching for SNS illustrators using feedback on motifs and impressions (YS, KM), pp. 1041–1044.

SAC-2013-AlnusairZY #automation #design #recognition #semantics #using

Automatic recognition of design motifs using semantic conditions (AA, TZ, GY), pp. 1062–1067.

SAC-2012-DayehH #biology #network #using

Analyzing incomplete biological pathways using network motifs (MED, MH), pp. 1355–1360.

SAC-2012-SchluterC #correlation #detection #markov #modelling #predict #using

Hidden markov model-based time series prediction using motifs for detecting inter-time-serial correlations (TS, SC), pp. 158–164.

ITiCSE-2011-Wolfer #education

A medical motif for teaching computer graphics in context (JW), p. 328.

MLDM-2011-ArmstrongD #database #scalability

Unsupervised Discovery of Motifs under Amplitude Scaling and Shifting in Time Series Databases (TA, ED), pp. 539–552.

CIKM-2010-ZhaoTHOJL #communication #social

Communication motifs: a tool to characterize social communications (QZ, YT, QH, NO, RJ, WCL), pp. 1645–1648.

ICML-2010-KokD #learning #logic #markov #network #using

Learning Markov Logic Networks Using Structural Motifs (SK, PMD), pp. 551–558.

ICPR-2010-ZhaoWSS #feature model #process #recognition

Motif Discovery and Feature Selection for CRF-based Activity Recognition (LZ, XW, GS, RS), pp. 3826–3829.

KDD-2010-MueenK #maintenance #online

Online discovery and maintenance of time series motifs (AM, EJK), pp. 1089–1098.

SAC-2010-AminBJ #framework #interactive #performance

A cytoscape based framework for efficient sub-graph isomorphic protein-protein interaction motif lookup (MSA, AB, HMJ), pp. 1572–1576.

SAC-2010-RibeiroS #data type #named #network #performance

g-tries: an efficient data structure for discovering network motifs (PMPR, FMAS), pp. 1559–1566.

KDD-2009-DuJDLT #approach #migration #mining

Migration motif: a spatial — temporal pattern mining approach for financial markets (XD, RJ, LD, VEL, JHTJ), pp. 1135–1144.

SAC-2009-CorderoVB #clustering #framework

A new protein motif extraction framework based on constrained co-clustering (FC, AV, MB), pp. 776–781.

ICALP-2007-FellowsFHV #graph

Sharp Tractability Borderlines for Finding Connected Motifs in Vertex-Colored Graphs (MRF, GF, DH, SV), pp. 340–351.

LATA-2007-AntoniouCIP #set #string

Application of suffix trees for the acquisition of common motifs with gaps in a set of strings (PA, MC, CSI, PP), pp. 57–66.

KDD-2007-YankovKMCZ #detection #scalability

Detecting time series motifs under uniform scaling (DY, EJK, JM, BYcC, VBZ), pp. 844–853.

CIAA-2006-AntoniouHIMP #automaton #finite #using

Finding Common Motifs with Gaps Using Finite Automata (PA, JH, CSI, BM, PP), pp. 69–77.

KDD-2006-ChenHLN #interactive #named #network

NeMoFinder: dissecting genome-wide protein-protein interactions with meso-scale network motifs (JC, WH, MLL, SKN), pp. 106–115.

GPCE-2006-ReederG #programming #visual notation

A graphical programming system for molecular motif search (JR, RG), pp. 131–140.

SAC-2006-FassettiGT #biology #performance

Efficient discovery of loosely structured motifs in biological data (FF, GG, GT), pp. 151–155.

CIKM-2005-ZhaoBG05a #named #web

WAM-Miner: in the search of web access motifs from historical web log data (QZ, SSB, LG), pp. 421–428.

ICML-2005-WangS #classification #kernel

New kernels for protein structural motif discovery and function classification (CW, SDS), pp. 940–947.

SAC-2004-CarvalhoOFS #algorithm #parallel

A parallel algorithm for the extraction of structured motifs (AMC, ALO, ATF, MFS), pp. 147–153.

SAC-2004-WangDK #refinement

Guiding motif discovery by iterative pattern refinement (ZW, MMD, SK), pp. 162–166.

KDD-2003-ChiuKL #probability

Probabilistic discovery of time series motifs (BYcC, EJK, SL), pp. 493–498.

MLDM-2003-TanakaU #analysis #component #multi #principle #using

Discover Motifs in Multi-dimensional Time-Series Using the Principal Component Analysis and the MDL Principle (YT, KU), pp. 252–265.

ICPR-v2-2002-BhagavathyNM #image #modelling #using

Modeling Object Classes in Aerial Images Using Texture Motifs (SB, SN, BSM), pp. 981–984.

ICML-1999-HuSK #detection #sequence

Detecting Motifs from Sequences (YJH, SBS, DFK), pp. 181–190.

KDD-1997-WangWSSDRZ #3d #automation

Automated Discovery of Active Motifs in Three Dimensional Molecules (XW, JTLW, DS, BAS, SD, IR, KZ), pp. 89–95.

KDD-1996-WangSSZC #automation #multi

Automated Discovery of Active Motifs in Multiple RNA Secondary Structures (JTLW, BAS, DS, KZ, CYC), pp. 70–75.

AdaEurope-1995-Matthewman #ada #empirical #named

ECLIPS — A Successful Experiment Combining CCSDS SFDUs, X/Motif, HOOD and Ada (AM), pp. 311–330.

TOOLS-EUROPE-1994-MullerMN

A Motif Widget to Display, Animate and Edit Graphics (DM, LM, AN), pp. 27–34.

TRI-Ada-1993-Byrnes #ada #migration

Porting Applications Between Two Commercial Ada/Motif Bindings (CB), pp. 37–49.

HT-ECHT-1992-Clark

Motif Applications + LinkWorks = Hyperenvironment (Demonstration) (WC), p. 295.

SEKE-1992-SubramaniamTHRR #design #information management #prototype #type system

Knowledge Engineering for Protein Structure and Motifs: Design of a Prototype System (SS, DKT, KH, HR, LAR), pp. 420–435.

ML-1991-YamanishiK #learning #probability #search-based #sequence

Learning Stochastic Motifs from Genetic Sequences (KY, AK), pp. 467–471.

TOOLS-USA-1991-Joloboff #object-oriented #tool support

Invited Paper: OSF Motif: An Object-Oriented Toolkit (VJ), pp. 7–22.