CS246: Mining Massive Datasets Jure Leskovec, ...snap.stanford.edu/class/cs246-2013/slides/20-review.pdf · SVM: Classification Millions of numerical features (e.g., documents) Simple
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CS246: Mining Massive Datasets Jure Leskovec, ...snap.stanford.edu/class/cs246-2018/slides/17-advertising.pdf · advertising Queries on streams Machine learning SVM Decision Trees
Facebook User Networks Based on Information Retrieval ...snap.stanford.edu/class/cs224w-2014/projects2014/cs224w...Facebook User Networks Based on Information Retrieval from Media
Social Coding: Evaluating Github’s Network using Weighted ...snap.stanford.edu/class/cs224w-2012/projects/cs224w-052-final.pdf · also incorporate social media features such as
Unsupervised Content-Based Identification of Fake …snap.stanford.edu/mis2/files/MIS2_paper_2.pdf · Unsupervised Content-Based Identification of Fake News Articles with Tensor Decomposition
CS246: Mining Massive Datasets Jure Leskovec, ...snap.stanford.edu/class/cs246-2018/slides/01-intro.pdf · ¡ Short weekly Gradiancequizzes:20% § Quizzes are posted every Tuesday
CS246: Mining Massive Datasets Jure Leskovec, ...snap.stanford.edu/class/cs246-2015/slides/17-advertising.pdf · advertising . Queries on streams . Machine learning . SVM . Decision
Computing global structural balance in large-scale …snap.stanford.edu/class/cs224w-readings/facchetti11signed.pdf · Computing global structural balance in large-scale signed social
Searching the Web - SNAP: Stanford Network …snap.stanford.edu/class/cs224w-readings/Arasu01Websearch.pdfKeywords: Search engine, crawling, indexing, link analysis, PageRank, HITS,
Network-Based Marketing: Identifying Likely Adopters via …snap.stanford.edu/class/cs224w-readings/hill06marketing.pdf · 2020-01-09 · NETWORK-BASED MARKETING 257 sumer networks
Deep Learning for Network Biology - Stanford Universitysnap.stanford.edu/Deepnetbio-ismb/Slides/Deepnetbio-part1-embeddings.pdfDeep Learning for Network Biology --snap.stanford.edu/deepnetbio-ismb
CS224W: Final Report - Discovering interesting structures and patterns …snap.stanford.edu/class/cs224w-2010/proj2010/24-finalWriteUp.pdf · CS224W: Final Report - Discovering interesting
Thomas Schelling Micromotives and Macrobehavior … · Thomas Schelling Micromotives and Macrobehavior Norton 1978 Chapter 4: "Sorting and Mixing" EOPLE GET SEPARATED along many lines
CS246: Mining Massive Datasets Jure Leskovec, …snap.stanford.edu/class/cs246-2015/slides/20-review.pdf · Data is High-dimensional: Locality Sensitive Hashing Dimensionality reduction
Cancer drug target discovery in protein-protein ...snap.stanford.edu/.../cs224w-2015/...discovery_in_protein_protein_interaction_networks.pdfCancer drug target discovery in protein-protein
Analysing Social Network Reactions to 2016 Republican ...snap.stanford.edu/class/.../Analysing_Social_Network_Reactions_to_2016... · Analysing Social Network Reactions to 2016 Republican
CS224W: Social and Information Network Analysis Fall 2013 ...snap.stanford.edu › class › cs224w-2013 › homeworks › hw4 › hw4.pdf · CS224W: Social and Information Network
Partitioning Sparse Matrices with Eigenvectors of …snap.stanford.edu/class/cs224w-readings/Pothen89Partition.pdf · In this paper, we consider a spectral algorithm for solving the
