Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Recommending and evaluating choices in a virtual community of use
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Matrix computations (3rd ed.)
Latent semantic indexing: a probabilistic analysis
PODS '98 Proceedings of the seventeenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
Recommendation as classification: using social and content-based information in recommendation
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Authoritative sources in a hyperlinked environment
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Ratio Rules: A New Paradigm for Fast, Quantifiable Data Mining
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Recommendation Systems: A Probabilistic Analysis
FOCS '98 Proceedings of the 39th Annual Symposium on Foundations of Computer Science
On clusterings-good, bad and spectral
FOCS '00 Proceedings of the 41st Annual Symposium on Foundations of Computer Science
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Competitive recommendation systems
STOC '02 Proceedings of the thiry-fourth annual ACM symposium on Theory of computing
Pass efficient algorithms for approximating large matrices
SODA '03 Proceedings of the fourteenth annual ACM-SIAM symposium on Discrete algorithms
Robustness Analyses of Instance-Based Collaborative Recommendation
ECML '02 Proceedings of the 13th European Conference on Machine Learning
Some Recent Results on Data Mining and Search
MFCS '01 Proceedings of the 26th International Symposium on Mathematical Foundations of Computer Science
Local and Global Methods in Data Mining: Basic Techniques and Open Problems
ICALP '02 Proceedings of the 29th International Colloquium on Automata, Languages and Programming
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ACM SIGCOMM Computer Communication Review
Convergent algorithms for collaborative filtering
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Sampling lower bounds via information theory
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A community-aware search engine
Proceedings of the 13th international conference on World Wide Web
Collaboration of untrusting peers with changing interests
EC '04 Proceedings of the 5th ACM conference on Electronic commerce
On clusterings: Good, bad and spectral
Journal of the ACM (JACM)
A decentralized algorithm for spectral analysis
STOC '04 Proceedings of the thirty-sixth annual ACM symposium on Theory of computing
Using mixture models for collaborative filtering
STOC '04 Proceedings of the thirty-sixth annual ACM symposium on Theory of computing
Clustering Large Graphs via the Singular Value Decomposition
Machine Learning
A spectral algorithm for learning mixture models
Journal of Computer and System Sciences - Special issue on FOCS 2002
Exploring the community structure of newsgroups
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Collaborative recommendation: A robustness analysis
ACM Transactions on Internet Technology (TOIT)
Link analysis ranking: algorithms, theory, and experiments
ACM Transactions on Internet Technology (TOIT)
Using non-linear dynamical systems for web searching and ranking
PODS '04 Proceedings of the twenty-third ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
A probabilistic model for Latent Semantic Indexing: Research Articles
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Using information retrieval techniques for supporting data mining
Data & Knowledge Engineering
Name disambiguation in author citations using a K-way spectral clustering method
Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries
Algorithmic foundations of the internet
ACM SIGACT News
Subproblem optimization by gene correlation with singular value decomposition
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Improved recommendation systems
SODA '05 Proceedings of the sixteenth annual ACM-SIAM symposium on Discrete algorithms
Collaborate with strangers to find own preferences
Proceedings of the seventeenth annual ACM symposium on Parallelism in algorithms and architectures
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Collaborative filtering supporting web site navigation
AI Communications
On the use of linear programming for unsupervised text classification
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
Spectral and meta-heuristic algorithms for software clustering
Journal of Systems and Software - Special issue: Software reverse engineering
On Learning Mixtures of Heavy-Tailed Distributions
FOCS '05 Proceedings of the 46th Annual IEEE Symposium on Foundations of Computer Science
Fast maximum margin matrix factorization for collaborative prediction
ICML '05 Proceedings of the 22nd international conference on Machine learning
Tell me who I am: an interactive recommendation system
Proceedings of the eighteenth annual ACM symposium on Parallelism in algorithms and architectures
Analysis of a low-dimensional linear model under recommendation attacks
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
Tensor-CUR decompositions for tensor-based data
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On the Nyström Method for Approximating a Gram Matrix for Improved Kernel-Based Learning
The Journal of Machine Learning Research
Collaborative Filtering Supporting Web Site Navigation
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Fast computation of low-rank matrix approximations
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Information cut for clustering using a gradient descent approach
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Computer Networks: The International Journal of Computer and Telecommunications Networking
Using SVD and demographic data for the enhancement of generalized Collaborative Filtering
Information Sciences: an International Journal
Sampling from large matrices: An approach through geometric functional analysis
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Enhancing the Effectiveness of Clustering with Spectra Analysis
IEEE Transactions on Knowledge and Data Engineering
Spectral clustering by recursive partitioning
ESA'06 Proceedings of the 14th conference on Annual European Symposium - Volume 14
The uncovering of hidden structures by Latent Semantic Analysis
Information Sciences: an International Journal
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A decentralized algorithm for spectral analysis
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Mean shift spectral clustering
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International Journal of Computer Mathematics
A random walk method for alleviating the sparsity problem in collaborative filtering
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Finding Total and Partial Orders from Data for Seriation
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Group-Level Analysis and Visualization of Social Networks
Algorithmics of Large and Complex Networks
Finding similar users in social networks: extended abstract
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Foundations and Trends® in Theoretical Computer Science
Graph partitioning via adaptive spectral techniques
Combinatorics, Probability and Computing
A graph-spectral method for surface height recovery
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Random dot product graph models for social networks
WAW'07 Proceedings of the 5th international conference on Algorithms and models for the web-graph
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| Hi-index | 0.06 |
Experimental evidence suggests that spectral techniques are valuable for a wide range of applications. A partial list of such applications include (i) semantic analysis of documents used to cluster documents into areas of interest, (ii) collaborative filtering --- the reconstruction of missing data items, and (iii) determining the relative importance of documents based on citation/link structure. Intuitive arguments can explain some of the phenomena that has been observed but little theoretical study has been done. In this paper we present a model for framing data mining tasks and a unified approach to solving the resulting data mining problems using spectral analysis. These results give strong justification to the use of spectral techniques for latent semantic indexing, collaborative filtering, and web site ranking.