Slides (pdf) - Jesse Kornblum

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• Build a flowchart of questions on the features• Each question should divide the data equally• Blackjack example:Decision TreeIs your total < 11?Have pair? Dealer have < 11?Split hands Hit Stay36
• Quick to classify, but slow to construct• What questions are best at which point in the tree?Decision Tree• [Insert mathy stuff here]• You could make a career out of efficient decision tree generation– And people do37
Page 1 and 2: Clustering and Classification forCy
Page 3 and 4: • Kyrus- Winston Wolf ofcomputer
Page 5 and 6: Similarity• What does it mean for
Page 7 and 8: Example7
Page 9 and 10: Current Tools• Cryptographic Hash
Page 11 and 12: Fuzzy Hashing• Compare signatures
Page 13 and 14: • Better algorithm for matching s
Page 15 and 16: Similar Programs• Similarity depe
Page 17 and 18: Features• What features can we ex
Page 19 and 20: • Clustering- Group of inputs whi
Page 21 and 22: Distance Measures21
Page 23 and 24: Distance MeasuresEntropyRepresent f
Page 25 and 26: Cosine SimilarityEntropyθThe small
Page 27 and 28: Comparisons• Can find programs si
Page 29 and 30: • Each program belongs to at most
Page 31 and 32: Clustering vs. ClassificationCluste
Page 33 and 34: Classification• User must create
Page 35: • Also used for spam detector- Al
Page 39 and 40: • Precision measures false positi
Page 41 and 42: • All of these are Free and Open
Page 43 and 44: Conclusion• Analyzing an infinite
Page 45: Questions?Jesse Kornblumjesse.kornb

Slides (pdf) - Jesse Kornblum

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