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Finding unusual review patterns using unexpected rules

Nitin Jindal, Bing Liu, Ee-Peng Lim
2010 Proceedings of the 19th ACM international conference on Information and knowledge management - CIKM '10  
., identifying unusual review patterns which can represent suspicious behaviors of reviewers. We formulate the problem as finding unexpected rules. The technique is domain independent.  ...  Using the technique, we analyzed an Amazon.com review dataset and found many unexpected rules and rule groups which indicate spam activities.  ...  This paper proposes such an approach and shows that the problem can be formulated as finding unexpected rules/patterns from data.  ... 
doi:10.1145/1871437.1871669 dblp:conf/cikm/JindalLL10 fatcat:e4jbws6spvf2ja4iy6vticviya

Association Rules and Data Mining in Hospital Infection Control and Public Health Surveillance

S. E. Brossette, A. P. Sprague, J. M. Hardin, K. B. Waites, W. T. Jones, S. A. Moser
1998 JAMIA Journal of the American Medical Informatics Association  
Next, they define association rules, explain how those rules can be used in surveillance, and present a novel process and systemthe Data Mining Surveillance System (DMSS) -that utilize association rules  ...  Conclusion: The new process and system are efficient and effective in identifying new, unexpected, and interesting patterns in surveillance data.  ...  We address the problem of automatically identifying new, unexpected, and interesting patterns in surveillance data.  ... 
doi:10.1136/jamia.1998.0050373 pmid:9670134 pmcid:PMC61314 fatcat:r7b7kykvbzalhi5dcft6bmrume

A framework for infection control surveillance using association rules

Lili Ma, Fu-Chiang Tsui, William R Hogan, Michael M Wagner, Haobo Ma
2003 AMIA Annual Symposium Proceedings  
We employed the association rule method for automatically identifying new, unexpected, and potentially interesting patterns in hospital infection control.  ...  We hypothesized that mining for low-support, low-confidence rules would detect unexpected outbreaks caused by a small number of cases.  ...  Association rule induction is a powerful data mining method for finding temporal trends in large datasets. The goal of data mining is to automate the process of finding interesting temporal patterns.  ... 
pmid:14728205 pmcid:PMC1480000 fatcat:ov34y7uebrdsvpsuhpujen4zzi

Classify Unexpected News Impacts to Stock Price by Incorporating Time Series Analysis into Support Vector Machine

Ting Yu, T. Jan, J. Debenham, S. Simoff
2006 The 2006 IEEE International Joint Conference on Neural Network Proceedings  
A classifier mainly built by support vector machine uses the training data set to extract the interrelationship between unexpected news events and the stock price movements. 1 1 t t Ht t t t  ...  A rule-base associated with the net-of-market return and piecewise linear fitting constructs the training data set.  ...  point detection, are employed to find the desirable patterns.  ... 
doi:10.1109/ijcnn.2006.247256 dblp:conf/ijcnn/YuJDS06 fatcat:526qi25dovcaffx76ajs5eerly

Review spam detector with rating consistency check

Kuldeep Sharma, King-Ip Lin
2013 Proceedings of the 51st ACM Southeast Conference on - ACMSE '13  
The approach is based on multiple criteria: checking unusual review vs. rating patterns, links or advertisements, detecting questions and comparative reviews.  ...  -undeserving positive or negative reviews; reviews that reviewers never use the product, but is written with an agenda in mind. This paper aims to detect spam reviews by users.  ...  Unusual Review Patterns Paper [5] , is restricted to identify unusual review patterns by finding the unexpected rules.  ... 
doi:10.1145/2498328.2500083 dblp:conf/ACMse/SharmaL13 fatcat:nil5pmafx5e5ppnpxgicpav5qe

Seeing baby: women's experience of prenatal ultrasound examination and unexpected fetal diagnosis

J E Van der Zalm, P J Byrne
2006 Journal of Perinatology  
Women identify being objectified by the examination and experience poor communication patterns after a fetal US diagnosis.  ...  disconnected, the power of the image, and communication rules.  ...  Once these segments were identified and reviewed, the researchers sorted and organized them into prominent themes and patterns among the themes, searching for any patterns or relationships that connected  ... 
doi:10.1038/sj.jp.7211540 pmid:16801957 fatcat:4rqi3e4d4rbnjeouot3ticwzka

Mining High Utility Itemsets from Large Dynamic Dataset by Eliminating Unusual Items

Switi C.Chaudhari, Vijay Kumar Verma
2013 International Journal of Computer Applications  
In this paper we proposed Eliminating Unusual Itemset by Eliminating item set which is low utility item set to reduce search space.  ...  The primary goal of Data mining is to discover hidden patterns, unexpected trends in the data.  ...  Frequent pattern mining is beneficial for association rule mining. Association-rule mining discovers unordered correlations between items from a given database [3, 5] .  ... 
doi:10.5120/13550-1315 fatcat:4tnpeio5fveslozl4m7ota6tyy

Profile of uncommon primary adult hepatic malignancies at a tertiary care center

Eliz Thomas, A Venkatasubramanian
2020 Journal of Pathology of Nepal  
The patient's clinico-radiological findings and laboratory investigations were noted.  ...  Histological review of the tissue specimen along with immunohistochemical stains are imperative for diagnosis.  ...  Our cases were confirmed to be primary, by ruling out metastases from other origins.  ... 
doi:10.3126/jpn.v10i2.29933 fatcat:it5pvb77f5hdlpyzjm6s5qevt4

Superfreakonomics: Global cooling, patriotic prostitutes, and why suicide bombers should buy life insurance

R. Schuyler House, Tamara Lynch
2010 IIMB Management Review  
of rigorous analysis over rules-of-thumb.  ...  In several, findings are too confident where underlying assumptions are uncertain. For example, the mathematics used to assert the danger of 'drunk walking' is too weak to support the argument.  ... 
doi:10.1016/j.iimb.2010.07.003 fatcat:wtabegnhsja6zkeezn3o5uegiy

Asymmetric pattern in generalized myasthenia gravis

Thiago Pereira de Carvalho, Clara Louise Vianna, Felipe Freitas Andrade, Rafaela Abreu Alvarenga, Liz de Oliveira Moura Sales, Rosana Souza Rodrigues, Paulo Henrique Rosado-de-Castro
2018 Medicine  
MRI of brain without abnormalities was fundamental to rule out another associated etiology. Our review of the literature revealed just 1 case report of MG with similar presentation.  ...  Although our patient presented all the diagnostic criteria of MG, the markedly asymmetric limb weakness presented in previous history and clinical examination of admission was an unusual and unexpected  ...  Our review of the literature [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] on unusual forms of MG manifestation revealed just 1 case report of MG [6] with a similar presentation even  ... 
doi:10.1097/md.0000000000013460 pmid:30544431 pmcid:PMC6310581 fatcat:xmqtgobo3fevjcmojazu2kcmem

Gastro-intestinal symptoms as clinical manifestation of peritoneal and retroperitoneal spread of an invasive lobular breast cancer: report of a case and review of the literature

G Franceschini, A Manno, A Mulè, A Verbo, G Rizzo, D Sermoneta, L Petito, P D'alba, C Maggiore, D Terribile, R Masetti, C Coco
2006 BMC Cancer  
Metastatic involvement of peritoneum and retroperitoneum is unusual and unexpected.  ...  The long and complex diagnostic work up which led us to the diagnosis is illustrated, with particular emphasis on the multidisciplinary approach, which is mandatory to obtain such a result in these cases  ...  Histological finding on biopsy samples gave us the definitive confirmation of the metastatic nature of the lesion.  ... 
doi:10.1186/1471-2407-6-193 pmid:16854225 pmcid:PMC1550421 fatcat:s3xk73saxvdrzileepnjhxcb7m

Giant frontal intraparenchymal schwannoma: unexpected diagnosis

M. Rotondo, M. Pascale, A. Scuotto
2013 BMJ Case Reports  
Although the neuroradiological characteristics of IS are thought to be of high frequency calcifications, cystic formations and peritumoral oedema, 3 these findings are not the rule.  ...  BACKGROUND The described case represents a rare manifestation of an unusual tumour.  ...  Provenance and peer review Not commissioned; externally peer reviewed.  ... 
doi:10.1136/bcr-2013-010350 pmid:23833005 pmcid:PMC3736415 fatcat:vpnwrtibbnhc3bdb3l6alhzsye

Outlier detection for patient monitoring and alerting

Milos Hauskrecht, Iyad Batal, Michal Valko, Shyam Visweswaran, Gregory F. Cooper, Gilles Clermont
2013 Journal of Biomedical Informatics  
We develop and evaluate a data-driven approach for detecting unusual (anomalous) patient-management decisions using past patient cases stored in electronic health records (EHRs).  ...  We evaluate this hypothesis using data obtained from EHRs of 4486 post-cardiac surgical patients and a subset of 222 alerts generated from the data.  ...  For each alert, a reviewer was asked to: To assess whether an individual alert was useful and whether it was likely to be followed up by an action, we used a simple majority rule.  ... 
doi:10.1016/j.jbi.2012.08.004 pmid:22944172 pmcid:PMC3567774 fatcat:ryo5brhrove2llz2b66ioezrwq

Opinion Spam Recognition Method for Online Reviews using Ontological Features [article]

L.H. Nguyen, N.T.H. Pham, V.M. Ngo
2018 arXiv   pre-print
In this paper, we pro-pose a new approach using knowledge-based Ontology to detect opinion spam with high accuracy (higher than 75%). Keywords: Opinion spam, Fake review, E-commercial, Ontology.  ...  Nowadays, there are a lot of people using social media opinions to make their decision on buying products or services.  ...  Non-review detection 1. Finding unusual pattern: Based on experiments, we found that non-review contains a lot of unusual patterns.  ... 
arXiv:1807.11024v1 fatcat:cmwef6xix5d55hhnidn5eddupa

Data Mining for Wearable Sensors in Health Monitoring Systems: A Review of Recent Trends and Challenges

Hadi Banaee, Mobyen Ahmed, Amy Loutfi
2013 Sensors  
This paper provides a recent review of the latest methods and algorithms used to analyze data from wearable sensors used for physiological monitoring of vital signs in healthcare services.  ...  sets used in experimental validation.  ...  Since rule-based methods are using a set of provided rules by experts or the domain knowledge, they are able to perform anomaly detection task and to deal with unlabeled data sets to find unusual patterns  ... 
doi:10.3390/s131217472 pmid:24351646 pmcid:PMC3892855 fatcat:fy4hhounsrgffno2fclhanqt7m
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