Sources Index

notes papers

Only papers I read and used as sources (or small books that don’t deserve a separate wiki page)

Cristianini, Nello, John Shawe-Taylor, and Huma Lodhi. “Latent semantic kernels.” 2002. [Kernel Methods(Kernel_Methods) Latent Semantic Kernels
Cutting, et al. “Scatter/gather: A cluster-based approach to browsing large document collections.” 1992. [Scatter/Gather(Scatter_Gather)

Datar, Mayur, et al. “Locality-sensitive hashing scheme based on p-stable distributions.” 2004. [Locality Sensitive Hashing(Locality_Sensitive_Hashing), Euclidean LSH
De Smet, Yves. “An introduction to multicriteria decision aid: The PROMETHEE and GAIA methods.” PROMETHEE
Deerwester, Scott C., et al. “Indexing by latent semantic analysis.” 1990. [Latent Semantic Analysis(Latent_Semantic_Analysis)
Domingos, Pedro. “A few useful things to know about machine learning.” 2012. [Overfitting(Overfitting)

Elsayed, Tamer, Jimmy Lin, and Douglas W. Oard. “Pairwise document similarity in large collections with MapReduce.” 2008. [Inverted Index(Inverted_Index)
Ertöz, Levent et al. “Finding clusters of different sizes, shapes, and densities in noisy, high dimensional data.” 2003. [Document Clustering(Document_Clustering), DBSCAN, SNN Clustering, Euclidean Distance, Curse of Dimensionality, Chameleon Clustering, CURE Clustering, ROCK Clustering

Gionis, Aristides, Piotr Indyk, and Rajeev Motwani. “Similarity search in high dimensions via hashing.” 1999. [Locality Sensitive Hashing(Locality_Sensitive_Hashing), Bit Sampling LSH

Hopcroft, John, and Ravindran Kannan. “Foundations of Data Science1.” 2014. Power Iteration

Jauregui, Jeff. “Principal component analysis with linear algebra.” 2012. [SVD(SVD), Principal Component Analysis
Jing, Liping. “Survey of text clustering.” 2008. [Vector Space Model(Vector_Space_Model), Document Clustering, Cluster Analysis, Subspace Clustering, Semi-Supervised Clustering

Kalman, Dan. “A singularly valuable decomposition: the SVD of a matrix.” 1996. [SVD(SVD)
Koll, Matthew B. “WEIRD: An approach to concept-based information retrieval.” 1979. Latent Semantic Analysis
Korenius, Tuomo, Jorma Laurikkala, and Martti Juhola. “On principal component analysis, cosine and Euclidean measures in information retrieval.” 2007. [Principal Component Analysis(Principal_Component_Analysis), Latent Semantic Analysis, Distance Functions, Cosine Similarity, Euclidean Distance
Kristianto, et al. “Extracting definitions of mathematical expressions in scientific papers.” 2012. [Mathematical Definition Extraction(Mathematical_Definition_Extraction), Math-Aware POS Tagging
Kristianto, et al. “Extracting Textual Descriptions of Mathematical Expressions in Scientific Papers.” 2014. [Mathematical Definition Extraction(Mathematical_Definition_Extraction)

Landauer, T. et al. “An introduction to latent semantic analysis.” 1998. [Latent Semantic Analysis(Latent_Semantic_Analysis)
Larsen, Bjornar et al. “Fast and effective text mining using linear-time document clustering.” 1999. [Document Clustering(Document_Clustering)
Li, Yong H., et al. “Classification of text documents.” 1998. [Term Clustering(Term_Clustering)
Liu, Tao, et al. “An evaluation on feature selection for text clustering.” 2003. [Term Contribution(Term_Contribution)

Oikonomakou, Nora, and Michalis Vazirgiannis. “A review of web document clustering approaches.” Data mining and knowledge discovery handbook. 2010. [Cluster Analysis(Cluster_Analysis) Agglomerative Clustering K-Means
Osinski, Stanislaw. “Improving quality of search results clustering with approximate matrix factorisations.” 2006. [Non-Negative Matrix Factorization(Non-Negative_Matrix_Factorization)

Pagael, Rober, and Moritz Schubotz. “Mathematical Language Processing Project.” 2014. [Mathematical Definition Extraction(Mathematical_Definition_Extraction) Math-Aware POS Tagging
Paulevé, Loïc, et al. “Locality sensitive hashing: A comparison of hash function types and querying mechanisms.” 2010. [Locality Sensitive Hashing(Locality_Sensitive_Hashing), K-Means LSH

Salton, et al. “A vector space model for automatic indexing.” 1975. [Vector Space Model(Vector_Space_Model)
Salton, Buckley. “Term-weighting approaches in automatic text retrieval.” 1988. [TF-IDF(TF-IDF)
Schelter, Sebastian, et al. “Efficient Sample Generation for Scalable Meta Learning.” [2014. Meta Learning(Meta_Learning)
Schöneberg et al. “POS Tagging and its Applications for Mathematics.” 2014. Math-Aware POS Tagging
Sculley, David. “Web-scale k-means clustering.” 2010. [K-Means(K-Means)
Sebastiani, Fabrizio. “Machine learning in automated text categorization.” 2002. [Document Classification(Document_Classification), Term Clustering
Slaney, Malcolm, and Michael Casey. “Locality-sensitive hashing for finding nearest neighbors [lecture notes].” 2008. [Locality Sensitive Hashing(Locality_Sensitive_Hashing), Euclidean LSH
Steinbach, Michael, et al. “A comparison of document clustering techniques.” 2000. Document Clustering, K-Means
Strang, Gilbert. “The fundamental theorem of linear algebra.” 1993. [SVD(SVD)

Wilbur, W. John, “The automatic identification of stop words.” 1992. [Stop Words(Stop_Words), Term Strength

Xu, Wei, Xin Liu, and Yihong Gong. “Document clustering based on non-negative matrix factorization.” 2003. [Cluster Analysis(Cluster_Analysis), Non-Negative Matrix Factorization

Zhai, ChengXiang. “Statistical language models for information retrieval.” (Book) 2008. Information Retrieval, Statistical Language Models, Multinomial Distribution, Smoothing for Language Models, TF-IDF, Probabilistic Retrieval Model
Zhukov, Leonid, and David Gleich. “Topic identification in soft clustering using PCA and ICA”. 2004. [Latent Semantic Analysis(Latent_Semantic_Analysis)

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