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Alexandros Nanopoulos
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- affiliation: Aristotle University of Thessaloniki, Greece
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2010 – 2019
- 2018
- [r3]Apostolos N. Papadopoulos, Antonio Corral, Alexandros Nanopoulos, Yannis Theodoridis:
R-Tree (and Family). Encyclopedia of Database Systems (2nd ed.) 2018 - 2017
- [j45]Muhammad Umer Khan, Lars Schmidt-Thieme
, Alexandros Nanopoulos:
Collaborative SVM classification in scale-free peer-to-peer networks. Expert Syst. Appl. 69: 74-86 (2017) - 2016
- [j44]Dimitrios Rafailidis
Modeling Users Preference Dynamics and Side Information in Recommender Systems. IEEE Trans. Syst. Man Cybern. Syst. 46(6): 782-792 (2016) - [c85]Armin Felbermayr, Alexandros Nanopoulos:
What Role Do Emotions Play for Brands in Online Customer Reviews? BIR 2016: 297-311 - 2015
- [j43]Aleksandra Klasnja-Milicevic
Recommender systems in e-learning environments: a survey of the state-of-the-art and possible extensions. Artif. Intell. Rev. 44(4): 571-604 (2015) - [j42]Krisztián Búza
Nearest neighbor regression in the presence of bad hubs. Knowl. Based Syst. 86: 250-260 (2015) - [j41]Milos Radovanovic
Reverse Nearest Neighbors in Unsupervised Distance-Based Outlier Detection. IEEE Trans. Knowl. Data Eng. 27(5): 1369-1382 (2015) - [j40]Rasoul Karimi, Alexandros Nanopoulos, Lars Schmidt-Thieme
A supervised active learning framework for recommender systems based on decision trees. User Model. User Adapt. Interact. 25(1): 39-64 (2015) - [c84]Anastasia Mochalova, Alexandros Nanopoulos:
Non-intrusive Viral Marketing Based on Percolation Centrality. ECIS 2015 - [c83]Rasoul Karimi, Christoph Freudenthaler, Alexandros Nanopoulos, Lars Schmidt-Thieme:
Comparing Prediction Models for Active Learning in Recommender Systems. LWA 2015: 171-180 - [c82]Anastasia Mochalova, Alexandros Nanopoulos:
Multi-stage seed selection for viral marketing. SAC 2015: 1181-1183 - [c81]Dimitrios Rafailidis
Crossing the Boundaries of Communities via Limited Link Injection for Information Diffusion In Social Networks. WWW (Companion Volume) 2015: 97-98 - [c80]Dimitrios Rafailidis
Repeat Consumption Recommendation Based on Users Preference Dynamics and Side Information. WWW (Companion Volume) 2015: 99-100 - 2014
- [j39]Josef Bauer, Alexandros Nanopoulos:
Recommender systems based on quantitative implicit customer feedback. Decis. Support Syst. 68: 77-88 (2014) - [j38]Anastasia Mochalova, Alexandros Nanopoulos:
A targeted approach to viral marketing. Electron. Commer. Res. Appl. 13(4): 283-294 (2014) - [j37]Hans-Henning Gabriel, Myra Spiliopoulou, Alexandros Nanopoulos:
Summarizing dynamic Social Tagging Systems. Expert Syst. Appl. 41(2): 457-469 (2014) - [j36]Krisztián Búza
Storage-optimizing clustering algorithms for high-dimensional tick data. Expert Syst. Appl. 41(9): 4148-4157 (2014) - [j35]Lucas Stich
Modelling the spread of negative word-of-mouth in online social networks. J. Decis. Syst. 23(2): 203-221 (2014) - [j34]Dimitrios Rafailidis
"With a little help from new friends": Boosting information cascades in social networks based on link injection. J. Syst. Softw. 98: 1-8 (2014) - [j33]Stefanos Antaris, Dimitrios Rafailidis
Link injection for boosting information spread in social networks. Soc. Netw. Anal. Min. 4(1): 236 (2014) - [c79]Anastasia Mochalova, Alexandros Nanopoulos:
Restricting the spread of Firestorms in Social Networks. ECIS 2014 - [c78]Muhammad Umer Khan, Pavlos Basaras, Lars Schmidt-Thieme
Analyzing cooperative lane change models for connected vehicles. ICCVE 2014: 565-570 - [c77]Rasoul Karimi, Alexandros Nanopoulos, Lars Schmidt-Thieme:
Improved Questionnaire Trees for Active Learning in Recommender Systems. LWA 2014: 34-44 - [c76]Josef Bauer, Alexandros Nanopoulos:
A framework for matrix factorization based on general distributions. RecSys 2014: 249-256 - [c75]Dimitrios Rafailidis
Modeling the dynamics of user preferences in coupled tensor factorization. RecSys 2014: 321-324 - [e1]Alexandros Nanopoulos, Werner Schmidt
S-BPM ONE - Scientific Research - 6th International Conference, S-BPM ONE 2014, Eichstätt, Germany, April 22-23, 2014. Proceedings. Lecture Notes in Business Information Processing 170, Springer 2014, ISBN 978-3-319-06064-4 [contents] - 2013
- [c74]Muhammad Umer Khan, Alexandros Nanopoulos, Lars Schmidt-Thieme
P2P RVM for Distributed Classification. ECDA 2013: 145-155 - [c73]Anastasia Mochalova, Alexandros Nanopoulos:
On The Role Of Centrality In Information Diffusion In Social Networks. ECIS 2013: 101 - [c72]Rasoul Karimi, Martin Wistuba, Alexandros Nanopoulos, Lars Schmidt-Thieme
Factorized Decision Trees for Active Learning in Recommender Systems. ICTAI 2013: 404-411 - [c71]Rasoul Karimi, Christoph Freudenthaler, Alexandros Nanopoulos, Lars Schmidt-Thieme:
Towards Optimal Active Learning for Matrix Factorization in Recommender Systems. LWA 2013: 149-150 - [c70]Alexandros Nanopoulos, Dimitrios Rafailidis, Ioannis Karydis:
Matrix Factorization with Content Relationships for Media Personalization. Wirtschaftsinformatik 2013: 6 - 2012
- [b4]Leandro Balby Marinho, Andreas Hotho, Robert Jäschke
Recommender Systems for Social Tagging Systems. Springer Briefs in Electrical and Computer Engineering, Springer 2012, ISBN 978-1-4614-1893-1, pp. i-ix, 1-111 - [j32]Krisztián Búza
GRAMOFON: General model-selection framework based on networks. Neurocomputing 75(1): 163-170 (2012) - [c69]Josif Grabocka, Alexandros Nanopoulos, Lars Schmidt-Thieme:
Classification of Sparse Time Series via Supervised Matrix Factorization. AAAI 2012: 929-934 - [c68]Josif Grabocka, Alexandros Nanopoulos, Lars Schmidt-Thieme
Invariant Time-Series Classification. ECML/PKDD (2) 2012: 725-740 - [c67]Rasoul Karimi, Christoph Freudenthaler, Alexandros Nanopoulos, Lars Schmidt-Thieme
Exploiting the characteristics of matrix factorization for active learning in recommender systems. RecSys 2012: 317-320 - 2011
- [j31]Dimitrios Rafailidis
Nonlinear dimensionality reduction for efficient and effective audio similarity searching. Multim. Tools Appl. 51(3): 881-895 (2011) - [j30]Alexandros Nanopoulos:
Item Recommendation in Collaborative Tagging Systems. IEEE Trans. Syst. Man Cybern. Part A 41(4): 760-771 (2011) - [c66]Rasoul Karimi, Christoph Freudenthaler, Alexandros Nanopoulos, Lars Schmidt-Thieme
Active learning for aspect model in recommender systems. CIDM 2011: 162-167 - [c65]Krisztián Búza
IQ estimation for accurate time-series classification. CIDM 2011: 216-223 - [c64]Nguyen Thai-Nghe, Lucas Drumond, Tomás Horváth, Alexandros Nanopoulos, Lars Schmidt-Thieme:
Matrix and Tensor Factorization for Predicting Student Performance. CSEDU (1) 2011: 69-78 - [c63]Artus Krohn-Grimberghe, André Busche, Alexandros Nanopoulos, Lars Schmidt-Thieme
Active Learning for Technology Enhanced Learning. EC-TEL 2011: 512-518 - [c62]Krisztián Búza
Fusion of Similarity Measures for Time Series Classification. HAIS (2) 2011: 253-261 - [c61]Krisztián Búza
Fast Classification of Electrocardiograph Signals via Instance Selection. HISB 2011: 9-16 - [c60]Alexandros Nanopoulos, Ioannis Karydis
Know Thy Neighbor: Combining audio features and social tags for effective music similarity. ICASSP 2011: 165-168 - [c59]Ioannis Karydis
Audio-to-Tag mapping: A novel approach for music similarity computation. ICME 2011: 1-6 - [c58]Rasoul Karimi, Christoph Freudenthaler, Alexandros Nanopoulos, Lars Schmidt-Thieme
Towards Optimal Active Learning for Matrix Factorization in Recommender Systems. ICTAI 2011: 1069-1076 - [c57]Rasoul Karimi, Christoph Freudenthaler, Alexandros Nanopoulos, Lars Schmidt-Thieme
Non-myopic active learning for recommender systems based on Matrix Factorization. IRI 2011: 299-303 - [c56]Avare Stewart, Ernesto Diaz-Aviles, Alexandros Nanopoulos:
Self-supervised detection of disease reporting events in outbreak reports. IRI 2011: 416-421 - [c55]Artus Krohn-Grimberghe, André Busche, Alexandros Nanopoulos, Lars Schmidt-Thieme:
Active Learning for Technology Enhanced Learning. LWA 2011: 28-31 - [c54]Rasoul Karimi, Alexandros Nanopoulos, Lars Schmidt-Thieme
RFID-Enhanced Museum for Interactive Experience. MM4CH 2011: 192-205 - [c53]Krisztián Búza, Alexandros Nanopoulos, Lars Schmidt-Thieme
INSIGHT: Efficient and Effective Instance Selection for Time-Series Classification. PAKDD (2) 2011: 149-160 - [p2]Leandro Balby Marinho, Alexandros Nanopoulos, Lars Schmidt-Thieme, Robert Jäschke
Social Tagging Recommender Systems. Recommender Systems Handbook 2011: 615-644 - 2010
- [j29]Aleksandra Klasnja-Milicevic
Social tagging in recommender systems: a survey of the state-of-the-art and possible extensions. Artif. Intell. Rev. 33(3): 187-209 (2010) - [j28]Dimitrios Rafailidis
Building Tag-Aware Groups for Music High-Order Ranking and Topic Discovery. Int. J. Multim. Data Eng. Manag. 1(3): 1-18 (2010) - [j27]Milos Radovanovic, Alexandros Nanopoulos, Mirjana Ivanovic:
Hubs in Space: Popular Nearest Neighbors in High-Dimensional Data. J. Mach. Learn. Res. 11: 2487-2531 (2010) - [j26]Alexandros Nanopoulos, Dimitrios Rafailidis
MusicBox: Personalized Music Recommendation Based on Cubic Analysis of Social Tags. IEEE Trans. Speech Audio Process. 18(2): 407-412 (2010) - [j25]Panagiotis Symeonidis
A Unified Framework for Providing Recommendations in Social Tagging Systems Based on Ternary Semantic Analysis. IEEE Trans. Knowl. Data Eng. 22(2): 179-192 (2010) - [c52]Krisztián Búza
Time-Series Classification Based on Individualised Error Prediction. CSE 2010: 48-54 - [c51]Artus Krohn-Grimberghe, Alexandros Nanopoulos, Lars Schmidt-Thieme
Integrating OLAP and recommender systems: an evaluation perspective. DOLAP 2010: 85-92 - [c50]Krisztián Búza, Alexandros Nanopoulos, Lars Schmidt-Thieme:
Individualized Error Estimation for Classification and Regression Models. GfKl 2010: 183-191 - [c49]Krisztián Búza
Graph-Based Model-Selection Framework for Large Ensembles. HAIS (1) 2010: 557-564 - [c48]Hans-Henning Gabriel, Myra Spiliopoulou, Alexandros Nanopoulos:
Crosssense - Sensemaking in a Folksonomy with Cross-modal Clustering over Content and User Activities. KDIR 2010: 100-111 - [c47]Ioannis Karydis, Milos Radovanovic, Alexandros Nanopoulos, Mirjana Ivanovic:
Looking Through the "Glass Ceiling": A Conceptual Framework for the Problems of Spectral Similarity. ISMIR 2010: 267-272 - [c46]Artus Krohn-Grimberghe, Alexandros Nanopoulos, Lars Schmidt-Thieme:
A Novel Multidimensional Framework for Evaluating Recommender Systems. LWA 2010: 113-120 - [c45]Hans-Henning Gabriel, Myra Spiliopoulou, Alexandros Nanopoulos:
Eigenvector-based clustering using aggregated similarity matrices. SAC 2010: 1083-1087 - [c44]Milos Radovanovic
Time-Series Classification in Many Intrinsic Dimensions. SDM 2010: 677-688 - [c43]Milos Radovanovic
On the existence of obstinate results in vector space models. SIGIR 2010: 186-193
2000 – 2009
- 2009
- [j24]Nantia D. Iakovidou, Alexandros Nanopoulos, Yannis Manolopoulos:
Ranking genes based on kernels. Intell. Decis. Technol. 3(4): 233-238 (2009) - [j23]Alexandros Nanopoulos, Dimitrios Rafailidis
Music search engines: Specifications and challenges. Inf. Process. Manag. 45(3): 392-396 (2009) - [j22]Eleftherios Tiakas, Apostolos N. Papadopoulos, Alexandros Nanopoulos, Yannis Manolopoulos:
Node and edge selectivity estimation for range queries in spatial networks. Inf. Syst. 34(3): 328-352 (2009) - [j21]Eleftherios Tiakas, Apostolos Papadopoulos, Alexandros Nanopoulos, Yannis Manolopoulos, Dragan Stojanovic
Searching for similar trajectories in spatial networks. J. Syst. Softw. 82(5): 772-788 (2009) - [c42]Alexandros Nanopoulos:
Detecting Hubs in Music Audio Based on Network Analysis. DAGM-Symposium 2009: 302-311 - [c41]Avare Stewart, Ernesto Diaz-Aviles, Wolfgang Nejdl
Cross-tagging for personalized open social networking. Hypertext 2009: 271-278 - [c40]Maria M. Ruxanda, Bee Yong Chua, Alexandros Nanopoulos, Christian S. Jensen
Emotion-based music retrieval on a well-reduced audio feature space. ICASSP 2009: 181-184 - [c39]Milos Radovanovic, Alexandros Nanopoulos, Mirjana Ivanovic
Nearest neighbors in high-dimensional data: the emergence and influence of hubs. ICML 2009: 865-872 - [c38]Ioannis Karydis, Alexandros Nanopoulos, Hans-Henning Gabriel, Myra Spiliopoulou:
Tag-Aware Spectral Clustering of Music Items. ISMIR 2009: 159-164 - [c37]Steffen Rendle, Leandro Balby Marinho
Learning optimal ranking with tensor factorization for tag recommendation. KDD 2009: 727-736 - [c36]Alexandros Nanopoulos, Milos Radovanovic
How does high dimensionality affect collaborative filtering? RecSys 2009: 293-296 - [c35]Panagiotis Symeonidis
MoviExplain: a recommender system with explanations. RecSys 2009: 317-320 - [c34]Alexandros Nanopoulos, Hans-Henning Gabriel, Myra Spiliopoulou:
Spectral Clustering in Social-Tagging Systems. WISE 2009: 87-100 - [p1]Ioannis Karydis, Alexandros Nanopoulos, Yannis Manolopoulos:
Mining in Music Databases. Database Technologies: Concepts, Methodologies, Tools, and Applications 2009: 35-59 - [r2]Apostolos N. Papadopoulos, Antonio Corral, Alexandros Nanopoulos, Yannis Theodoridis:
R-Tree (and Family). Encyclopedia of Database Systems 2009: 2453-2459 - 2008
- [j20]Dragan Stojanovic
Continuous range monitoring of mobile objects in road networks. Data Knowl. Eng. 64(1): 77-100 (2008) - [j19]Panagiotis Symeonidis
Collaborative recommender systems: Combining effectiveness and efficiency. Expert Syst. Appl. 34(4): 2995-3013 (2008) - [j18]Panagiotis Symeonidis
Nearest-biclusters collaborative filtering based on constant and coherent values. Inf. Retr. 11(1): 51-75 (2008) - [j17]Ioannis Karydis
Music Retrieval Over Wireless Ad-Hoc Networks. IEEE Trans. Speech Audio Process. 16(6): 1152-1162 (2008) - [j16]Panagiotis Symeonidis
Providing Justifications in Recommender Systems. IEEE Trans. Syst. Man Cybern. Part A 38(6): 1262-1272 (2008) - [c33]Maria M. Ruxanda, Alexandros Nanopoulos, Christian S. Jensen
Ranking music data by relevance and importance. ICME 2008: 549-552 - [c32]Dimitrios Rafailidis, Alexandros Nanopoulos, Yannis Manolopoulos, Emilios Cambouropoulos:
Detection of Stream Segments in Symbolic Musical Data. ISMIR 2008: 83-88 - [c31]Panagiotis Symeonidis, Maria M. Ruxanda, Alexandros Nanopoulos, Yannis Manolopoulos:
Ternary Semantic Analysis of Social Tags for Personalized Music Recommendation. ISMIR 2008: 219-224 - [c30]Nikolaos Dimokas, Nikolaos Mittas, Alexandros Nanopoulos, Lefteris Angelis:
A Prototype System for Educational Data Warehousing and Mining. Panhellenic Conference on Informatics 2008: 199-203 - [c29]Panagiotis Symeonidis
Tag recommendations based on tensor dimensionality reduction. RecSys 2008: 43-50 - [c28]Eleftherios Tiakas, Apostolos N. Papadopoulos, Alexandros Nanopoulos, Yannis Manolopoulos:
Selectivity estimation in spatial networks. SAC 2008: 852-856 - 2007
- [j15]Alexandros Nanopoulos, Apostolos N. Papadopoulos, Yannis Manolopoulos:
Mining association rules in very large clustered domains. Inf. Syst. 32(5): 649-669 (2007) - [j14]Alexandros Nanopoulos, Apostolos N. Papadopoulos, Yannis Manolopoulos, Tatjana Welzer-Druzovec:
Robust Classification Based on Correlations Between Attributes. Int. J. Data Warehous. Min. 3(3): 14-27 (2007) - [j13]Ioannis Karydis
Finding maximum-length repeating patterns in music databases. Multim. Tools Appl. 32(1): 49-71 (2007) - [c27]Stefanos Ougiaroglou
Adaptive k-Nearest-Neighbor Classification Using a Dynamic Number of Nearest Neighbors. ADBIS 2007: 66-82 - [c26]Apostolos N. Papadopoulos, Apostolos Lyritsis, Alexandros Nanopoulos, Yannis Manolopoulos:
Domination Mining and Querying. DaWaK 2007: 145-156 - [c25]Alexandros Nanopoulos:
Collaborative Filtering Based on Transitive Correlations Between Items. ECIR 2007: 368-380 - [c24]Ioannis Karydis, Alexandros Nanopoulos, Apostolos N. Papadopoulos, Emilios Cambouropoulos:
VISA: The Voice Integration/Segregation Algorithm. ISMIR 2007: 445-448 - [c23]Panagiotis Symeonidis, Alexandros Nanopoulos, Yannis Manolopoulos:
Feature-Weighted User Model for Recommender Systems. User Modeling 2007: 97-106 - [c22]Alexandros Nanopoulos, Athanasios Nikolaidis, Apostolos N. Papadopoulos:
Broadcasting Images in Wireless Networks. WOWMOM 2007: 1-10 - 2006
- [b3]Yannis Manolopoulos, Alexandros Nanopoulos, Apostolos N. Papadopoulos, Yannis Theodoridis:
R-Trees: Theory and Applications. Advanced Information and Knowledge Processing, Springer 2006, ISBN 978-1-85233-977-7, pp. 1-194 - [j12]Apostolos N. Papadopoulos, Alexandros Nanopoulos, Yannis Manolopoulos:
Processing Distance Join Queries with Constraints. Comput. J. 49(3): 281-296 (2006) - [j11]Alexandros Nanopoulos, Yannis Theodoridis
Indexed-based density biased sampling for clustering applications. Data Knowl. Eng. 57(1): 37-63 (2006) - [c21]Panagiotis Symeonidis, Alexandros Nanopoulos, Apostolos Papadopoulos, Yannis Manolopoulos:
Collaborative Filtering Based on User Trends. GfKl 2006: 375-382 - [c20]Dragan Stojanovic, Slobodanka Djordjevic-Kajan, Apostolos N. Papadopoulos, Alexandros Nanopoulos:
Continuous Range Query Processing for Network Constrained Mobile Objects. ICEIS (1) 2006: 63-70 - [c19]Panagiotis Symeonidis
Collaborative Filtering Process in a Whole New Light. IDEAS 2006: 29-36 - [c18]Eleftherios Tiakas, Apostolos N. Papadopoulos, Alexandros Nanopoulos, Yannis Manolopoulos, Dragan Stojanovic
Trajectory Similarity Search in Spatial Networks. IDEAS 2006: 185-192 - [c17]Panagiotis Symeonidis, Alexandros Nanopoulos, Apostolos Papadopoulos, Yannis Manolopoulos:
Nearest-Biclusters Collaborative Filtering with Constant Values. WEBKDD 2006: 36-55 - 2005
- [j10]Ioannis Karydis
Evaluation of similarity searching methods for music data in P2P networks. Int. J. Bus. Intell. Data Min. 1(2): 210-228 (2005) - [j9]Dimitrios Katsaros, Alexandros Nanopoulos, Yannis Manolopoulos:
Fast mining of frequent tree structures by hashing and indexing. Inf. Softw. Technol. 47(2): 129-140 (2005) - [c16]Ioannis Karydis, Alexandros Nanopoulos, Apostolos N. Papadopoulos, Yannis Manolopoulos:
Musical Retrieval in P2P Networks under the Warping Distance. ICEIS (1) 2005: 100-107 - [c15]Ioannis Karydis, Alexandros Nanopoulos, Apostolos N. Papadopoulos, Dimitrios Katsaros, Yannis Manolopoulos:
Content-Based Music Information Retrieval in Wireless Ad-Hoc Networks. ISMIR 2005: 137-144 - [c14]Ioannis Karydis
Audio Indexing for Efficient Music Information Retrieval. MMM 2005: 22-29 - [c13]Apostolos N. Papadopoulos, Alexandros Nanopoulos, Yannis Manolopoulos:
Closest Pair Queries with Spatial Constraints. Panhellenic Conference on Informatics 2005: 1-13 - [c12]Georgios Katsikis, Naoum Mengoudis, Alexandros Nanopoulos, Ioannis Samoladas, Ioannis Stamelos:
ASPIS: An Automated Information System for Certification and Analysis of Examination Process. Panhellenic Conference on Informatics 2005: 513-522 - [r1]Yannis Manolopoulos, Alexandros Nanopoulos, Mikolaj Morzy, Tadeusz Morzy, Marek Wojciechowski, Maciej Zakrzewicz:
Signature-Based Indexing Techniques for Web Access Logs. Encyclopedia of Information Science and Technology (V) 2005: 2481-2485 - 2004
- [j8]Alexandros Nanopoulos, Yannis Manolopoulos:
Memory-adaptive association rules mining. Inf. Syst. 29(5): 365-384 (2004) - [c11]Vasilis Vasaitis, Alexandros Nanopoulos, Panayiotis Bozanis:
Merging R-trees. SSDBM 2004: 141-150 - 2003
- [b2]Yannis Manolopoulos, Alexandros Nanopoulos, Eleni Tousidou:
Advanced Signature Indexing for Multimedia and Web Applications. Advances in Databases Systems 27, Kluwer 2003, ISBN 978-1-4613-4654-8, pp. 1-191 - [j7]Panayiotis Bozanis, Alexandros Nanopoulos, Yannis Manolopoulos:
LR-tree: a Logarithmic Decomposable Spatial Index Method. Comput. J. 46(3): 319-331 (2003) - [j6]Alexandros Nanopoulos, Michael Vassilakopoulos
Performance Evaluation of Lazy Deletion Methods in R-trees. GeoInformatica 7(4): 337-354 (2003) - [j5]Alexandros Nanopoulos, Maciej Zakrzewicz
Efficient storage and querying of sequential patterns in database systems. Inf. Softw. Technol. 45(1): 23-34 (2003) - [j4]Alexandros Nanopoulos, Dimitrios Katsaros, Yannis Manolopoulos:
A Data Mining Algorithm for Generalized Web Prefetching. IEEE Trans. Knowl. Data Eng. 15(5): 1155-1169 (2003) - [c10]Maria Kontaki, Yannis Manolopoulos, Alexandros Nanopoulos:
Compressing Large Signature Trees. ADBIS 2003: 163-177 - [c9]Mikolaj Morzy, Tadeusz Morzy, Alexandros Nanopoulos, Yannis Manolopoulos:
Hierarchical Bitmap Index: An Efficient and Scalable Indexing Technique for Set-Valued Attributes. ADBIS 2003: 236-252 - [c8]Dimitrios Katsaros, Alexandros Nanopoulos, Murat Karakaya, Gökhan Yavas, Özgür Ulusoy
Clustering Mobile Trajectories for Resource Allocation in Mobile Environments. IDA 2003: 319-329 - [c7]Alexandros Nanopoulos, Panayiotis Bozanis:
Categorical Range Queires in Large Databases. SSTD 2003: 122-139 - 2002
- [b1]Alexandros Nanopoulos:
Τεχνικές εξόρυξης σύνθετων τύπων δεδομένων. Aristotle University Of Thessaloniki, Greece, 2002 - [j3]Alexandros Nanopoulos, Yannis Manolopoulos:
Efficient similarity search for market basket data. VLDB J. 11(2): 138-152 (2002) - [c6]Alexandros Nanopoulos, Yannis Manolopoulos, Yannis Theodoridis
An efficient and effective algorithm for density biased sampling. CIKM 2002: 398-404 - [c5]Alexandros Nanopoulos, Yannis Manolopoulos, Maciej Zakrzewicz, Tadeusz Morzy:
Indexing web access-logs for pattern queries. WIDM 2002: 63-68 - 2001
- [j2]Alexandros Nanopoulos, Yannis Manolopoulos:
Mining patterns from graph traversals. Data Knowl. Eng. 37(3): 243-266 (2001) - [c4]Alexandros Nanopoulos, Dimitrios Katsaros, Yannis Manolopoulos:
Exploiting Web Log Mining for Web Cache Enhancement. WEBKDD 2001: 68-87 - [c3]Alexandros Nanopoulos, Yannis Theodoridis, Yannis Manolopoulos:
C2P: Clustering based on Closest Pairs. VLDB 2001: 331-340 - 2000
- [j1]Eleni Tousidou, Alexandros Nanopoulos, Yannis Manolopoulos:
Improved Methods for Signature-Tree Construction. Comput. J. 43(4): 301-314 (2000) - [c2]Alexandros Nanopoulos, Yannis Manolopoulos:
Finding Generalized Path Patterns for Web Log Data Mining. ADBIS-DASFAA 2000: 215-228
1990 – 1999
- 1998
- [c1]Alexandros Nanopoulos, Yannis Manolopoulos:
Indexing Time-Series Databases for Inverse Queries. DEXA 1998: 551-560
Coauthor Index
[j31] [j28] [j26] [j25] [j24] [j23] [j22] [j21] [c35] [p1] [j19] [j18] [j17] [j16] [c33] [c32] [c31] [c29] [c28] [j15] [j14] [j13] [c27] [c26] [c23] [b3] [j12] [j11] [c21] [c19] [c18] [c17] [j10] [j9] [c16] [c15] [c14] [c13] [r1] [j8] [b2] [j7] [j6] [j5] [j4] [c10] [c9] [c8] [j3] [c6] [c5] [j2] [c4] [c3] [j1] [c2] [c1]
Apostolos N. Papadopoulos
aka: Apostolos Papadopoulos
aka: Apostolos Papadopoulos
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