|Reference: || Rakesh Agrawal and Ramakrishnan Srikant, Fast Algorithms for Miningssociation Rules, International Conference on Very Large Data Bases, VLDB, 1994.|
 Yong Yeo. Ahn, Sebastian E. Ahnert, James P. Bagrow, and Albert László Barabasi, Flavor Network and the Principles of Food Pairing, Scientific Reports, Vol.1, 2011.
 Florian Beil, Martin Ester, and Xiaowei Xu, Frequent Term-based Text Clustering. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002.
 Steven Bird, Klein Ewan, and Edward Loper. Natural Language Processing with Python, O'Reilly Media, Inc., 2009.
 Stephen P. Borgatti, Centrality and Network Flow, Social Networks, Vol. 27 No.1, 2005.
 Corrado Boscarino, N. J. Koenderink, V. Nedović, and J. L. Top, Automatic extraction of ingredient's substitutes. ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication. ACM, 2014.
 L. Breiman, Random Forests, Machine Learning, Vol. 45, 2001.
 Thomas H. Cormen, Clifford Stein, Ronald L. Rivest, and Charles E. Leiserson, Introduction to Algorithms (the 2nd Edition), McGraw-Hill, 2001.
 Karam Gouda and Mohammed Zaki, Efficiently Mining Maximal Frequent Itemsets, IEEE International Conference on Data Mining, 2001.
 Jaiwei Han and Micheline Kamber, Data Mining: Concepts and Techniques, Morgan Kaufmann Publishers, 2001.
 Anna Huang, Similarity Measures for Text Document Clustering, Sixth New Zealand Computer Science Research Student Conference, Christchurch, New Zealand, 2008.
 James Manyika, Michael Chui, Brad Brown, Jacques Bughin, Richard Dobbs, Charles Roxburgh, and Angela H. Byers, Big Data: the Next Frontier for Innovation, Competition, and Productivity, McKinsey & Company, 2011.
 Rada Mihalcea, Courteny Corley, and Carlo Strapparava, Corpus-based and Knowledge-based Measures of Text Semantic Similarity. In, AAAI, 2006.
 Trung Duc Nguyen, Diep Thi-Ngoc Nguyen, and Yasushi Kiyoki, A Regional Food's Features Extraction Algorithm and Its Application, International Workshop on Multimedia for Cooking & Eating Activities, 2013.
 Tore Opsahl, Filip Agneessens, and John Skvoretz, Node Centrality in Weighted Networks: Generalizing Degree and Shortest Paths, Social Networks Vol. 32, 2010.
 J. R. Quinlan, C4.5: Programs for Machine Learning, Morgan Kaufmann Publishers, 1993.
 Carlos N. Silla Jr., and Alex A. Freitas, A Survey of Hierarchical Classification across Different Application Domains, Data Mining and Knowledge Discovery, Vol. 22, 2011.
 Han Su, Ting-Wei Lin, Cheng-Te Li, Man-Kwan Shan, and Janet Chang, Automatic Recipe Cuisine Classification by Ingredients, ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication, 2014.
 Aixin Sun, Ee-Peng Lim, and Wee-Keong Ng, Performance Measurement Framework for Hierarchical Text Classification, Journal of the American Society for Information Science and Technology, Vol. 54, 2003.
 Chun-Yuen Teng, Yu-Ru Lin, and Lada A. Adamic, Recipe Recommendation Using Ingredient Networks, ACM Web Science Conference, 2012.
 Kristin M. Tolle, D. Stewart W. Tansley, and Anthony J. Hey, The fourth paradigm: Data-intensive scientific discovery [point of view]. IEEE, Vol. 99, 2011.
 Lav R. Varshney, Florian Pinel, Kush R. Varshney, Debarun Bhattacharjya, Angela Schörgendorfer, and Yi-Min Chee, A Big Data Approach to Computational Creativity, arXiv preprint arXiv1311.1213 (2013).
 Kush R. Varshney, Lav R. Varshney, Jun Wang, and Daniel Myers, Flavor Pairing in Medieval European Cuisine: A study in Cooking with Dirty Data, International Joint Conference on Artificial Intelligence Workshops, 2013.
 Liping Wang, Qing Li, Na Li, Guozhu Dong, and Yu Yang, Substructure Similarity Measurement in Chinese Recipes. International Conference on World Wide Web, 2008.
 Yan Xu, Gareth Jones, JinTao Li, Bin Wang, and ChunMing Sun, A Study on Mutual Information-Based Feature Selection for Text Categorization, Journal of Computational Information Systems, Vol. 3, 2007.
 Gephi in https://gePhi.org
 Libsvm :http://www.csie.ntu.edu.tw/~cjlin/libsvm/
 Phi wiki introduction, retrieved June 20 2015 from the World Wide Web https://en.wikipedia.org/wiki/Phi.
 Stanford Parser. http://nlp.stanford.edu/software/lex-parser
 SVM wiki introduction, retrieved June 18 2015 from the World Wide Web https://en.wikipedia.org/wiki/Support_vector_machine
 Weka: http://www.cs.waikato.ac.nz/ml/weka/