BibSLEIGH — Charu_C

Travelled to:

1 × Australia
1 × Austria
1 × China
1 × Egypt
1 × France
1 × Germany
1 × Korea
1 × Norway
1 × Switzerland
23 × USA
3 × Canada

Collaborated with:

P.S.Yu ∅ J.Han J.Wang D.Agrawal P.Zhao J.L.Wolf M.J.Zaki Y.Xie Z.Sun R.Jin S.Parthasarathy K.Wu K.Subbian J.Srivastava Y.Sun M.Wang L.Liu Y.Zhao J.Pei B.Zhang S.Kim R.C.Agarwal V.V.V.Prasad A.Hinneburg D.A.Keim S.C.Gates Q.Gu J.Liu A.Khan Y.Wu X.Yan Y.Li Y.Li J.Wang N.Ta J.Feng C.M.Procopiuc J.S.Park S.Chang W.Han J.Tang G.Qi T.S.Huang B.Gedik K.Hildrum E.Bouillet W.Fan D.George X.Gu G.Luo H.Wang

Talks about:

data (16) stream (13) dimension (11) high (9) cluster (8) mine (8) framework (7) classif (7) graph (7) index (6)

Person: Charu C. Aggarwal

DBLP: Aggarwal:Charu_C=

Contributed to:

2015

2014

2013

2012

2011

2010

2009

2007

2006

2005

2004

2003

2002

2001

2000

1999

1998

1997

Wrote 50 papers:

KDD-2015-ChangHTQAH #architecture #network: Heterogeneous Network Embedding via Deep Architectures (SC, WH, JT, GJQ, CCA, TSH), pp. 119–128.
KDD-2014-Aggarwal #classification #problem: The setwise stream classification problem (CCA), pp. 432–441.
CIKM-2013-SubbianAS #analysis #mining #social: Content-centric flow mining for influence analysis in social streams (KS, CCA, JS), pp. 841–846.
KDD-2013-GuALH #classification #graph: Selective sampling on graphs for classification (QG, CCA, JL, JH), pp. 131–139.
VLDB-2013-KhanWAY #graph #named #performance #similarity: NeMa: Fast Graph Search with Label Similarity (AK, YW, CCA, XY), pp. 181–192.
VLDB-2012-SunAH #clustering #network: Relation Strength-Aware Clustering of Heterogeneous Information Networks with Incomplete Attributes (YS, CCA, JH), pp. 394–405.
VLDB-2012-ZhaoAW11 #estimation #graph #named #query #sketching: gSketch: On Query Estimation in Graph Streams (PZ, CCA, MW), pp. 193–204.
KDD-2011-AggarwalXY #data-driven #on the: On dynamic data-driven selection of sensor streams (CCA, YX, PSY), pp. 1226–1234.
KDD-2011-JinLA #graph #nondeterminism #reliability: Discovering highly reliable subgraphs in uncertain graphs (RJ, LL, CCA), pp. 992–1000.
CIKM-2010-ZhaoAY #composition #nondeterminism #on the #set: On wavelet decomposition of uncertain time series data sets (YZ, CCA, PSY), pp. 129–138.
SIGIR-2010-AggarwalZ #modelling #paradigm #representation #visual notation: Graphical models for text: a new paradigm for text representation and processing (CCA, PZ), pp. 899–900.
VLDB-2010-AggarwalLYJ #graph #mining #on the: On Dense Pattern Mining in Graph Streams (CCA, YL, PSY, RJ), pp. 975–984.
KDD-2009-AggarwalLWW #mining #nondeterminism: Frequent pattern mining with uncertain data (CCA, YL, JW, JW), pp. 29–38.
VLDB-2009-AggarwalXY #graph #named: GConnect: A Connectivity Index for Massive Disk-resident Graphs (CCA, YX, PSY), pp. 862–873.
KDD-2007-Aggarwal #classification #data type #framework #segmentation: A framework for classification and segmentation of massive audio data streams (CCA), pp. 1013–1017.
KDD-2007-AggarwalTWFZ #clustering #documentation #framework #named #xml: Xproj: a framework for projected structural clustering of xml documents (CCA, NT, JW, JF, MJZ), pp. 46–55.
KDD-2007-AggarwalY #classification #data type #on the #string: On string classification in data streams (CCA, PSY), pp. 36–45.
VLDB-2007-WuYGHABFGGLW #challenge #experience #monitoring #multi #prototype: Challenges and Experience in Prototyping a Multi-Modal Stream Analytic and Monitoring Application on System S (KLW, PSY, BG, KH, CCA, EB, WF, DG, XG, GL, HW), pp. 1185–1196.
KDD-2006-AggarwalPZ #data mining #mining #on the #privacy: On privacy preservation against adversarial data mining (CCA, JP, BZ), pp. 510–516.
VLDB-2006-Aggarwal #evolution #on the: On Biased Reservoir Sampling in the Presence of Stream Evolution (CCA), pp. 607–618.
KDD-2005-Aggarwal #algorithm #classification #towards: Towards exploratory test instance specific algorithms for high dimensional classification (CCA), pp. 526–531.
VLDB-2005-Aggarwal #on the: On k-Anonymity and the Curse of Dimensionality (CCA), pp. 901–909.
KDD-2004-AggarwalHWY #classification #data type #on the: On demand classification of data streams (CCA, JH, JW, PSY), pp. 503–508.
VLDB-2004-AggarwalHWY #clustering #data type #framework: A Framework for Projected Clustering of High Dimensional Data Streams (CCA, JH, JW, PSY), pp. 852–863.
KDD-2003-Aggarwal #data mining #design #distance #mining #towards: Towards systematic design of distance functions for data mining applications (CCA), pp. 9–18.
KDD-2003-ZakiA #classification #effectiveness #named #xml: XRules: an effective structural classifier for XML data (MJZ, CCA), pp. 316–325.
PODS-2003-AggarwalA #nearest neighbour #on the: On nearest neighbor indexing of nonlinear trajectories (CCA, DA), pp. 252–259.
SIGMOD-2003-Aggarwal #data type #framework: A Framework for Change Diagnosis of Data Streams (CCA), pp. 575–586.
VLDB-2003-AggarwalHWY #clustering #data type #evolution #framework: A Framework for Clustering Evolving Data Streams (CCA, JH, JW, PSY), pp. 81–92.
KDD-2002-Aggarwal #classification #effectiveness #on the #string: On effective classification of strings with wavelets (CCA), pp. 163–172.
KDD-2002-Aggarwal02a #case study #collaboration #crawling #experience #mining #resource management #topic #user interface: Collaborative crawling: mining user experiences for topical resource discovery (CCA), pp. 423–428.
SIGMOD-2002-Aggarwal #estimation #framework #nearest neighbour #reduction: Hierarchical subspace sampling: a unified framework for high dimensional data reduction, selectivity estimation and nearest neighbor search (CCA), pp. 452–463.
VLDB-2002-AggarwalY #automation #personalisation #web: An Automated System for Web Portal Personalization (CCA, PSY), pp. 1031–1040.
CIKM-2001-KimAY #effectiveness #metric #nearest neighbour: Effective Nearest Neighbor Indexing with the Euclidean Metric (SWK, CCA, PSY), pp. 9–16.
KDD-2001-Aggarwal #clustering #effectiveness #human-computer: A human-computer cooperative system for effective high dimensional clustering (CCA), pp. 221–226.
KDD-2001-AggarwalP #concept #mining #re-engineering #semistructured data #set: Mining massively incomplete data sets by conceptual reconstruction (CCA, SP), pp. 227–232.
PODS-2001-Aggarwal #on the #reduction #similarity: On the Effects of Dimensionality Reduction on High Dimensional Similarity Search (CCA).
PODS-2001-AgrawalA #algorithm #data mining #design #mining #on the #privacy #quantifier: On the Design and Quantification of Privacy Preserving Data Mining Algorithms (DA, CCA).
KDD-2000-AgarwalAP #generative: Depth first generation of long patterns (RCA, CCA, VVVP), pp. 108–118.
KDD-2000-AggarwalY #similarity: The IGrid index: reversing the dimensionality curse for similarity indexing in high dimensional space (CCA, PSY), pp. 119–129.
SIGMOD-2000-AggarwalY #clustering: Finding Generalized Projected Clusters In High Dimensional Spaces (CCA, PSY), pp. 70–81.
VLDB-2000-HinneburgAK #nearest neighbour #question #what: What Is the Nearest Neighbor in High Dimensional Spaces? (AH, CCA, DAK), pp. 506–515.
KDD-1999-AggarwalGY #categorisation #clustering #on the: On the Merits of Building Categorization Systems by Supervised Clustering (CCA, SCG, PSY), pp. 352–356.
KDD-1999-AggarwalWWY #approach #collaboration #graph: Horting Hatches an Egg: A New Graph-Theoretic Approach to Collaborative Filtering (CCA, JLW, KLW, PSY), pp. 201–212.
SIGMOD-1999-AggarwalPWYP #algorithm #clustering #performance: Fast Algorithms for Projected Clustering (CCA, CMP, JLW, PSY, JSP), pp. 61–72.
SIGMOD-1999-AggarwalWY #similarity: A New Method for Similarity Indexing of Market Basket Data (CCA, JLW, PSY), pp. 407–418.
CIKM-1998-AggarwalSY #algorithm #online: Online Algorithms for Finding Profile Association Rules (CCA, ZS, PSY), pp. 86–95.
KDD-1998-AggarwalSY #generative #online: Online Generation of Profile Association Rules (CCA, ZS, PSY), pp. 129–133.
PODS-1998-AggarwalY #framework #generative: A New Framework For Itemset Generation (CCA, PSY), pp. 18–24.
CIKM-1997-AggarwalY #on the #web: On Disk Caching of Web Objects in Proxy Servers (CCA, PSY), pp. 238–245.