27 skills found
chuanconggao / PrefixSpan PyThe shortest yet efficient Python implementation of the sequential pattern mining algorithm PrefixSpan, closed sequential pattern mining algorithm BIDE, and generator sequential pattern mining algorithm FEAT.
fidelity / Seq2pat[AAAI 2022] Seq2Pat: Sequence-to-Pattern Generation Library
fandu / Maximal Sequential Patterns MiningA handy Python wrapper of the famous VMSP algorithm for mining maximal sequential patterns.
skrusche63 / Spark FsmThis project provides sequential pattern mining for Apache Spark. The algorithms are based on the work of Philippe Fournier-Viger and comprise his SPADE and TSR algorithm. This enables to perform sequential pattern and also sequential rule mining.
mathchi / Customer Segmentation With RFM AnalysisContext A real online retail transaction data set of two years. Content This Online Retail II data set contains all the transactions occurring for a UK-based and registered, non-store online retail between 01/12/2009 and 09/12/2011.The company mainly sells unique all-occasion gift-ware. Many customers of the company are wholesalers. Column Descriptors InvoiceNo: Invoice number. Nominal. A 6-digit integral number uniquely assigned to each transaction. If this code starts with the letter 'c', it indicates a cancellation. StockCode: Product (item) code. Nominal. A 5-digit integral number uniquely assigned to each distinct product. Description: Product (item) name. Nominal. Quantity: The quantities of each product (item) per transaction. Numeric. InvoiceDate: Invice date and time. Numeric. The day and time when a transaction was generated. UnitPrice: Unit price. Numeric. Product price per unit in sterling (£). CustomerID: Customer number. Nominal. A 5-digit integral number uniquely assigned to each customer. Country: Country name. Nominal. The name of the country where a customer resides. Acknowledgements Here you can find references about data set: https://archive.ics.uci.edu/ml/datasets/Online+Retail+II and Relevant Papers: Chen, D. Sain, S.L., and Guo, K. (2012), Data mining for the online retail industry: A case study of RFM model-based customer segmentation using data mining, Journal of Database Marketing and Customer Strategy Management, Vol. 19, No. 3, pp. 197-208. doi: [Web Link]. Chen, D., Guo, K. and Ubakanma, G. (2015), Predicting customer profitability over time based on RFM time series, International Journal of Business Forecasting and Marketing Intelligence, Vol. 2, No. 1, pp.1-18. doi: [Web Link]. Chen, D., Guo, K., and Li, Bo (2019), Predicting Customer Profitability Dynamically over Time: An Experimental Comparative Study, 24th Iberoamerican Congress on Pattern Recognition (CIARP 2019), Havana, Cuba, 28-31 Oct, 2019. Laha Ale, Ning Zhang, Huici Wu, Dajiang Chen, and Tao Han, Online Proactive Caching in Mobile Edge Computing Using Bidirectional Deep Recurrent Neural Network, IEEE Internet of Things Journal, Vol. 6, Issue 3, pp. 5520-5530, 2019. Rina Singh, Jeffrey A. Graves, Douglas A. Talbert, William Eberle, Prefix and Suffix Sequential Pattern Mining, Industrial Conference on Data Mining 2018: Advances in Data Mining. Applications and Theoretical Aspects, pp. 309-324. 2018. Inspiration This is Data Set Characteristics: Multivariate, Sequential, Time-Series, Text
luguoqing / Diff FSPMMining Frequent Sequential Patterns under Differential Privacy
ledormeurduval / PrefixSpanSequential Pattern Mining - PrefixSpan - Fitting the implementation of Tianming Lu with the Spark MLlib Python API
alessandroaere / ERMinerERMiner: Sequential Pattern Mining algorithm for Sequential Rules generation and Event Prediction
GuillaumeDD / DialignAutomatic and generic measures of verbal alignment in dyadic dialogue based on sequential pattern mining at the level of surface of text utterances
dmeoli / OnlineRetailData Mining project 2020/2021 @ University of Pisa
takmanx / Pyprefixspanpyprefixspan - Python implementation for the algorithm PrefixSpan (Prefix-projected Sequential Pattern mining).
chuanconggao / PrefixSpan ScalaThe shortest yet efficient implementation of the famous sequential pattern mining algorithm PrefixSpan in Scala.
raulmoyareyes / PrefixspanMining Sequential Patterns by Pattern-Growth: The PrefixSpan Approach
dilettagoglia / DataMining🔎Data Understanding, Visualization , Preparation & Cleaning - Clustering algorithms (unsupervised learning) - Classification algorithms (supervised learning) - Sequential Pattern Mining
Aujasvi-Moudgil / GSP Implementation PythonSequence pattern discovery using Generalized Sequential Pattern Mining Algorithm
RonaldYu / Bide AlgorithmImplement BIDE algorithm for sequential pattern mining
tisonet / Datamining SequentialpatternsImplementation of algorithms for mining frequent sequences / sequential patterns
lukehb / 137 SPMSequential Pattern Mining algorithms written in Java - comes with a CLI.
salab / SparesortJava library for sequential pattern mining
pchandroo / MS GSPMS - GSP (Minimum Support - Generalized Sequential Pattern) Mining Algorithm Implementation
