Association rule learning (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Association rule learning" in English language version.

refsWebsite

Global rank English rank

23doi.org

2^nd place

14psu.edu

207^th place

136^th place

13semanticscholar.org

11^th place

8^th place

4web.archive.org

1^st place

3harvard.edu

18^th place

17^th place

1ugr.es

4,970^th place

low place

1precisely.com

low place

1talend.com

low place

1techtarget.com

2,435^th place

1,699^th place

1researchgate.net

120^th place

125^th place

1umn.edu

1,266^th place

860^th place

1agrawal-family.com

low place

1sciencedirect.com

149^th place

178^th place

1revolutionanalytics.com

low place

1bstu.by

low place

1mhahsler.github.io

low place

1arxiv.org

69^th place

59^th place

1handle.net

102^nd place

76^th place

1cas.cz

2,066^th place

6,869^th place

1loc.gov

70^th place

63^rd place

1dssresources.com

low place

1acm.org

1,185^th place

840^th place

1nih.gov

4^th place

acm.org (Global: 1,185^th place; English: 840^th place)

portal.acm.org

GI Webb and S. Butler and D. Newlands (2003). On Detecting Differences Between Groups. KDD'03 Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.

agrawal-family.com (Global: low place; English: low place)

rakesh.agrawal-family.com

Agrawal, Rakesh; and Srikant, Ramakrishnan; Fast algorithms for mining association rules in large databases Archived 2015-02-25 at the Wayback Machine, in Bocca, Jorge B.; Jarke, Matthias; and Zaniolo, Carlo; editors, Proceedings of the 20th International Conference on Very Large Data Bases (VLDB), Santiago, Chile, September 1994, pages 487-499

arxiv.org (Global: 69^th place; English: 59^th place)

Heaton, Jeff (2017-01-30). "Comparing Dataset Characteristics that Favor the Apriori, Eclat or FP-Growth Frequent Itemset Mining Algorithms". arXiv:1701.09042 [cs.DB].

bstu.by (Global: low place; English: low place)

neuro.bstu.by

Wong, Pak (1999). "Visualizing Association Rules for Text Mining" (PDF). BSTU Laboratory of Artificial Neural Networks. Archived (PDF) from the original on 2021-11-29.

cas.cz (Global: 2,066^th place; English: 6,869^th place)

cs.cas.cz

Hájek, Petr; Havránek, Tomáš (1978). Mechanizing Hypothesis Formation: Mathematical Foundations for a General Theory. Springer-Verlag. ISBN 978-3-540-08738-0.

doi.org (Global: 2^nd place; English: 2^nd place)

Agrawal, R.; Imieliński, T.; Swami, A. (1993). "Mining association rules between sets of items in large databases". Proceedings of the 1993 ACM SIGMOD international conference on Management of data - SIGMOD '93. p. 207. CiteSeerX 10.1.1.40.6984. doi:10.1145/170035.170072. ISBN 978-0897915922. S2CID 490415.
Jian Pei; Jiawei Han; Lakshmanan, L.V.S. (2001). "Mining frequent itemsets with convertible constraints". Proceedings 17th International Conference on Data Engineering. pp. 433–442. CiteSeerX 10.1.1.205.2150. doi:10.1109/ICDE.2001.914856. ISBN 978-0-7695-1001-9. S2CID 1080975.
Zaki, M. J. (2000). "Scalable algorithms for association mining". IEEE Transactions on Knowledge and Data Engineering. 12 (3): 372–390. Bibcode:2000ITKDE..12..372Z. CiteSeerX 10.1.1.79.9448. doi:10.1109/69.846291.
Han, Jiawei; Kamber, Micheline; Pei, Jian (2012). Mining Frequent Patterns, Associations, and Correlations: Basic Concepts and Methods. doi:10.1016/B978-0-12-381479-1.00006-X. ISBN 9780123814791.
Hahsler, Michael (2005). "Introduction to arules – A computational environment for mining association rules and frequent item sets" (PDF). Journal of Statistical Software. doi:10.18637/jss.v014.i15. Archived from the original (PDF) on 2019-04-30. Retrieved 2016-03-18.
Hipp, J.; Güntzer, U.; Nakhaeizadeh, G. (2000). "Algorithms for association rule mining --- a general survey and comparison". ACM SIGKDD Explorations Newsletter. 2: 58–64. CiteSeerX 10.1.1.38.5305. doi:10.1145/360402.360421. S2CID 9248096.
Brin, Sergey; Motwani, Rajeev; Ullman, Jeffrey D.; Tsur, Shalom (1997). "Dynamic itemset counting and implication rules for market basket data". Proceedings of the 1997 ACM SIGMOD international conference on Management of data - SIGMOD '97. pp. 255–264. CiteSeerX 10.1.1.41.6476. doi:10.1145/253260.253325. ISBN 978-0897919111. S2CID 15385590.
Omiecinski, E.R. (2003). "Alternative interest measures for mining associations in databases". IEEE Transactions on Knowledge and Data Engineering. 15 (1): 57–69. Bibcode:2003IDSO...15E1582O. CiteSeerX 10.1.1.329.5344. doi:10.1109/TKDE.2003.1161582. S2CID 18364249.
Aggarwal, Charu C.; Yu, Philip S. (1998). "A new framework for itemset generation". Proceedings of the seventeenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems - PODS '98. pp. 18–24. CiteSeerX 10.1.1.24.714. doi:10.1145/275487.275490. ISBN 978-0897919968. S2CID 11934586.
Tan, Pang-Ning; Kumar, Vipin; Srivastava, Jaideep (2004). "Selecting the right objective measure for association analysis". Information Systems. 29 (4): 293–313. CiteSeerX 10.1.1.331.4740. doi:10.1016/S0306-4379(03)00072-3.
Hájek, P.; Havel, I.; Chytil, M. (1966). "The GUHA method of automatic hypotheses determination". Computing. 1 (4): 293–308. doi:10.1007/BF02345483. S2CID 10511114.
Hájek, Petr; Rauch, Jan; Coufal, David; Feglar, Tomáš (2004). "The GUHA Method, Data Preprocessing and Mining". Database Support for Data Mining Applications. Lecture Notes in Computer Science. Vol. 2682. pp. 135–153. doi:10.1007/978-3-540-44497-8_7. ISBN 978-3-540-22479-2.
Webb, Geoffrey I. (2007). "Discovering Significant Patterns". Machine Learning. 68: 1–33. doi:10.1007/s10994-007-5006-x.
Gionis, Aristides; Mannila, Heikki; Mielikäinen, Taneli; Tsaparas, Panayiotis (2007). "Assessing data mining results via swap randomization". ACM Transactions on Knowledge Discovery from Data. 1 (3): 14–es. CiteSeerX 10.1.1.141.2607. doi:10.1145/1297332.1297338. S2CID 52305658.
Zaki, Mohammed J.; Parthasarathy, Srinivasan; Ogihara, Mitsunori; Li, Wei (1997). "Parallel Algorithms for Discovery of Association Rules". Data Mining and Knowledge Discovery. 1 (4): 343–373. doi:10.1023/A:1009773317876. S2CID 10038675.
Han (2000). "Mining frequent patterns without candidate generation". Proceedings of the 2000 ACM SIGMOD international conference on Management of data. Vol. SIGMOD '00. pp. 1–12. CiteSeerX 10.1.1.40.4436. doi:10.1145/342009.335372. ISBN 978-1581132175. S2CID 6059661.
Bayardo, Roberto J. Jr.; Agrawal, Rakesh; Gunopulos, Dimitrios (2000). "Constraint-based rule mining in large, dense databases". Data Mining and Knowledge Discovery. 4 (2): 217–240. doi:10.1023/A:1009895914772. S2CID 5120441.
Webb, Geoffrey I. (2000). "Efficient search for association rules". Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '00. pp. 99–107. CiteSeerX 10.1.1.33.1309. doi:10.1145/347090.347112. ISBN 978-1581132335. S2CID 5444097.
Menzies, T.; Ying Hu (2003). "Computing practices - Data mining for very busy people". Computer. 36 (11): 22–29. doi:10.1109/MC.2003.1244531.
Wong, A.K.C.; Yang Wang (1997). "High-order pattern discovery from discrete-valued data". IEEE Transactions on Knowledge and Data Engineering. 9 (6): 877–893. CiteSeerX 10.1.1.189.1704. doi:10.1109/69.649314.
Liu, Jinze; Paulsen, Susan; Sun, Xing; Wang, Wei; Nobel, Andrew; Prins, Jan (2006). "Mining Approximate Frequent Itemsets in the Presence of Noise: Algorithm and Analysis". Proceedings of the 2006 SIAM International Conference on Data Mining. pp. 407–418. CiteSeerX 10.1.1.215.3599. doi:10.1137/1.9781611972764.36. ISBN 978-0-89871-611-5.
Zimek, Arthur; Assent, Ira; Vreeken, Jilles (2014). Frequent Pattern Mining. pp. 403–423. doi:10.1007/978-3-319-07821-2_16. ISBN 978-3-319-07820-5.
King, R. D.; Srinivasan, A.; Dehaspe, L. (Feb 2001). "Warmr: a data mining tool for chemical data". J Comput Aided Mol Des. 15 (2): 173–81. Bibcode:2001JCAMD..15..173K. doi:10.1023/A:1008171016861. PMID 11272703. S2CID 3055046.

dssresources.com (Global: low place; English: low place)

"DSS News: Vol. 3, No. 23".

handle.net (Global: 102^nd place; English: 76^th place)

hdl.handle.net

Zaki, Mohammed Javeed; Parthasarathy, Srinivasan; Ogihara, Mitsunori; Li, Wei (1997). New Algorithms for Fast Discovery of Association Rules (Report). pp. 283–286. CiteSeerX 10.1.1.42.3283. hdl:1802/501.

harvard.edu (Global: 18^th place; English: 17^th place)

ui.adsabs.harvard.edu

Zaki, M. J. (2000). "Scalable algorithms for association mining". IEEE Transactions on Knowledge and Data Engineering. 12 (3): 372–390. Bibcode:2000ITKDE..12..372Z. CiteSeerX 10.1.1.79.9448. doi:10.1109/69.846291.
Omiecinski, E.R. (2003). "Alternative interest measures for mining associations in databases". IEEE Transactions on Knowledge and Data Engineering. 15 (1): 57–69. Bibcode:2003IDSO...15E1582O. CiteSeerX 10.1.1.329.5344. doi:10.1109/TKDE.2003.1161582. S2CID 18364249.
King, R. D.; Srinivasan, A.; Dehaspe, L. (Feb 2001). "Warmr: a data mining tool for chemical data". J Comput Aided Mol Des. 15 (2): 173–81. Bibcode:2001JCAMD..15..173K. doi:10.1023/A:1008171016861. PMID 11272703. S2CID 3055046.

loc.gov (Global: 70^th place; English: 63^rd place)

webarchive.loc.gov

Webb, Geoffrey I. (1995); OPUS: An Efficient Admissible Algorithm for Unordered Search, Journal of Artificial Intelligence Research 3, Menlo Park, CA: AAAI Press, pp. 431-465 online access

mhahsler.github.io (Global: low place; English: low place)

Michael Hahsler (2015). A Probabilistic Comparison of Commonly Used Interest Measures for Association Rules. https://mhahsler.github.io/arules/docs/measures

nih.gov (Global: 4^th place; English: 4^th place)

pubmed.ncbi.nlm.nih.gov

King, R. D.; Srinivasan, A.; Dehaspe, L. (Feb 2001). "Warmr: a data mining tool for chemical data". J Comput Aided Mol Des. 15 (2): 173–81. Bibcode:2001JCAMD..15..173K. doi:10.1023/A:1008171016861. PMID 11272703. S2CID 3055046.

precisely.com (Global: low place; English: low place)

"Data Mining Techniques: Top 5 to Consider". Precisely. 2021-11-08. Retrieved 2021-12-10.

psu.edu (Global: 207^th place; English: 136^th place)

citeseerx.ist.psu.edu

Agrawal, R.; Imieliński, T.; Swami, A. (1993). "Mining association rules between sets of items in large databases". Proceedings of the 1993 ACM SIGMOD international conference on Management of data - SIGMOD '93. p. 207. CiteSeerX 10.1.1.40.6984. doi:10.1145/170035.170072. ISBN 978-0897915922. S2CID 490415.
Jian Pei; Jiawei Han; Lakshmanan, L.V.S. (2001). "Mining frequent itemsets with convertible constraints". Proceedings 17th International Conference on Data Engineering. pp. 433–442. CiteSeerX 10.1.1.205.2150. doi:10.1109/ICDE.2001.914856. ISBN 978-0-7695-1001-9. S2CID 1080975.
Zaki, M. J. (2000). "Scalable algorithms for association mining". IEEE Transactions on Knowledge and Data Engineering. 12 (3): 372–390. Bibcode:2000ITKDE..12..372Z. CiteSeerX 10.1.1.79.9448. doi:10.1109/69.846291.
Hipp, J.; Güntzer, U.; Nakhaeizadeh, G. (2000). "Algorithms for association rule mining --- a general survey and comparison". ACM SIGKDD Explorations Newsletter. 2: 58–64. CiteSeerX 10.1.1.38.5305. doi:10.1145/360402.360421. S2CID 9248096.
Brin, Sergey; Motwani, Rajeev; Ullman, Jeffrey D.; Tsur, Shalom (1997). "Dynamic itemset counting and implication rules for market basket data". Proceedings of the 1997 ACM SIGMOD international conference on Management of data - SIGMOD '97. pp. 255–264. CiteSeerX 10.1.1.41.6476. doi:10.1145/253260.253325. ISBN 978-0897919111. S2CID 15385590.
Omiecinski, E.R. (2003). "Alternative interest measures for mining associations in databases". IEEE Transactions on Knowledge and Data Engineering. 15 (1): 57–69. Bibcode:2003IDSO...15E1582O. CiteSeerX 10.1.1.329.5344. doi:10.1109/TKDE.2003.1161582. S2CID 18364249.
Aggarwal, Charu C.; Yu, Philip S. (1998). "A new framework for itemset generation". Proceedings of the seventeenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems - PODS '98. pp. 18–24. CiteSeerX 10.1.1.24.714. doi:10.1145/275487.275490. ISBN 978-0897919968. S2CID 11934586.
Tan, Pang-Ning; Kumar, Vipin; Srivastava, Jaideep (2004). "Selecting the right objective measure for association analysis". Information Systems. 29 (4): 293–313. CiteSeerX 10.1.1.331.4740. doi:10.1016/S0306-4379(03)00072-3.
Gionis, Aristides; Mannila, Heikki; Mielikäinen, Taneli; Tsaparas, Panayiotis (2007). "Assessing data mining results via swap randomization". ACM Transactions on Knowledge Discovery from Data. 1 (3): 14–es. CiteSeerX 10.1.1.141.2607. doi:10.1145/1297332.1297338. S2CID 52305658.
Zaki, Mohammed Javeed; Parthasarathy, Srinivasan; Ogihara, Mitsunori; Li, Wei (1997). New Algorithms for Fast Discovery of Association Rules (Report). pp. 283–286. CiteSeerX 10.1.1.42.3283. hdl:1802/501.
Han (2000). "Mining frequent patterns without candidate generation". Proceedings of the 2000 ACM SIGMOD international conference on Management of data. Vol. SIGMOD '00. pp. 1–12. CiteSeerX 10.1.1.40.4436. doi:10.1145/342009.335372. ISBN 978-1581132175. S2CID 6059661.
Webb, Geoffrey I. (2000). "Efficient search for association rules". Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '00. pp. 99–107. CiteSeerX 10.1.1.33.1309. doi:10.1145/347090.347112. ISBN 978-1581132335. S2CID 5444097.
Wong, A.K.C.; Yang Wang (1997). "High-order pattern discovery from discrete-valued data". IEEE Transactions on Knowledge and Data Engineering. 9 (6): 877–893. CiteSeerX 10.1.1.189.1704. doi:10.1109/69.649314.
Liu, Jinze; Paulsen, Susan; Sun, Xing; Wang, Wei; Nobel, Andrew; Prins, Jan (2006). "Mining Approximate Frequent Itemsets in the Presence of Noise: Algorithm and Analysis". Proceedings of the 2006 SIAM International Conference on Data Mining. pp. 407–418. CiteSeerX 10.1.1.215.3599. doi:10.1137/1.9781611972764.36. ISBN 978-0-89871-611-5.

researchgate.net (Global: 120^th place; English: 125^th place)

"Drawbacks and solutions of applying association rule mining in learning management systems". ResearchGate. Retrieved 2021-12-10.

revolutionanalytics.com (Global: low place; English: low place)

mran.revolutionanalytics.com

Hahsler, Michael (2005). "Introduction to arules – A computational environment for mining association rules and frequent item sets" (PDF). Journal of Statistical Software. doi:10.18637/jss.v014.i15. Archived from the original (PDF) on 2019-04-30. Retrieved 2016-03-18.

sciencedirect.com (Global: 149^th place; English: 178^th place)

Han, Jiawei; Kamber, Micheline; Pei, Jian (2012). Mining Frequent Patterns, Associations, and Correlations: Basic Concepts and Methods. doi:10.1016/B978-0-12-381479-1.00006-X. ISBN 9780123814791.

semanticscholar.org (Global: 11^th place; English: 8^th place)

api.semanticscholar.org

Agrawal, R.; Imieliński, T.; Swami, A. (1993). "Mining association rules between sets of items in large databases". Proceedings of the 1993 ACM SIGMOD international conference on Management of data - SIGMOD '93. p. 207. CiteSeerX 10.1.1.40.6984. doi:10.1145/170035.170072. ISBN 978-0897915922. S2CID 490415.
Jian Pei; Jiawei Han; Lakshmanan, L.V.S. (2001). "Mining frequent itemsets with convertible constraints". Proceedings 17th International Conference on Data Engineering. pp. 433–442. CiteSeerX 10.1.1.205.2150. doi:10.1109/ICDE.2001.914856. ISBN 978-0-7695-1001-9. S2CID 1080975.
Hipp, J.; Güntzer, U.; Nakhaeizadeh, G. (2000). "Algorithms for association rule mining --- a general survey and comparison". ACM SIGKDD Explorations Newsletter. 2: 58–64. CiteSeerX 10.1.1.38.5305. doi:10.1145/360402.360421. S2CID 9248096.
Brin, Sergey; Motwani, Rajeev; Ullman, Jeffrey D.; Tsur, Shalom (1997). "Dynamic itemset counting and implication rules for market basket data". Proceedings of the 1997 ACM SIGMOD international conference on Management of data - SIGMOD '97. pp. 255–264. CiteSeerX 10.1.1.41.6476. doi:10.1145/253260.253325. ISBN 978-0897919111. S2CID 15385590.
Omiecinski, E.R. (2003). "Alternative interest measures for mining associations in databases". IEEE Transactions on Knowledge and Data Engineering. 15 (1): 57–69. Bibcode:2003IDSO...15E1582O. CiteSeerX 10.1.1.329.5344. doi:10.1109/TKDE.2003.1161582. S2CID 18364249.
Aggarwal, Charu C.; Yu, Philip S. (1998). "A new framework for itemset generation". Proceedings of the seventeenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems - PODS '98. pp. 18–24. CiteSeerX 10.1.1.24.714. doi:10.1145/275487.275490. ISBN 978-0897919968. S2CID 11934586.
Hájek, P.; Havel, I.; Chytil, M. (1966). "The GUHA method of automatic hypotheses determination". Computing. 1 (4): 293–308. doi:10.1007/BF02345483. S2CID 10511114.
Gionis, Aristides; Mannila, Heikki; Mielikäinen, Taneli; Tsaparas, Panayiotis (2007). "Assessing data mining results via swap randomization". ACM Transactions on Knowledge Discovery from Data. 1 (3): 14–es. CiteSeerX 10.1.1.141.2607. doi:10.1145/1297332.1297338. S2CID 52305658.
Zaki, Mohammed J.; Parthasarathy, Srinivasan; Ogihara, Mitsunori; Li, Wei (1997). "Parallel Algorithms for Discovery of Association Rules". Data Mining and Knowledge Discovery. 1 (4): 343–373. doi:10.1023/A:1009773317876. S2CID 10038675.
Han (2000). "Mining frequent patterns without candidate generation". Proceedings of the 2000 ACM SIGMOD international conference on Management of data. Vol. SIGMOD '00. pp. 1–12. CiteSeerX 10.1.1.40.4436. doi:10.1145/342009.335372. ISBN 978-1581132175. S2CID 6059661.
Bayardo, Roberto J. Jr.; Agrawal, Rakesh; Gunopulos, Dimitrios (2000). "Constraint-based rule mining in large, dense databases". Data Mining and Knowledge Discovery. 4 (2): 217–240. doi:10.1023/A:1009895914772. S2CID 5120441.
Webb, Geoffrey I. (2000). "Efficient search for association rules". Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '00. pp. 99–107. CiteSeerX 10.1.1.33.1309. doi:10.1145/347090.347112. ISBN 978-1581132335. S2CID 5444097.
King, R. D.; Srinivasan, A.; Dehaspe, L. (Feb 2001). "Warmr: a data mining tool for chemical data". J Comput Aided Mol Des. 15 (2): 173–81. Bibcode:2001JCAMD..15..173K. doi:10.1023/A:1008171016861. PMID 11272703. S2CID 3055046.

talend.com (Global: low place; English: low place)

"16 Data Mining Techniques: The Complete List - Talend". Talend - A Leader in Data Integration & Data Integrity. Retrieved 2021-12-10.

techtarget.com (Global: 2,435^th place; English: 1,699^th place)

searchbusinessanalytics.techtarget.com

"What are Association Rules in Data Mining (Association Rule Mining)?". SearchBusinessAnalytics. Retrieved 2021-12-10.

ugr.es (Global: 4,970^th place; English: low place)

sci2s.ugr.es

Garcia, Enrique (2007). "Drawbacks and solutions of applying association rule mining in learning management systems" (PDF). Sci2s. Archived (PDF) from the original on 2009-12-23.

umn.edu (Global: 1,266^th place; English: 860^th place)

www-users.cs.umn.edu

Tan, Pang-Ning; Michael, Steinbach; Kumar, Vipin (2005). "Chapter 6. Association Analysis: Basic Concepts and Algorithms" (PDF). Introduction to Data Mining. Addison-Wesley. ISBN 978-0-321-32136-7.

web.archive.org (Global: 1^st place; English: 1^st place)

Garcia, Enrique (2007). "Drawbacks and solutions of applying association rule mining in learning management systems" (PDF). Sci2s. Archived (PDF) from the original on 2009-12-23.
Agrawal, Rakesh; and Srikant, Ramakrishnan; Fast algorithms for mining association rules in large databases Archived 2015-02-25 at the Wayback Machine, in Bocca, Jorge B.; Jarke, Matthias; and Zaniolo, Carlo; editors, Proceedings of the 20th International Conference on Very Large Data Bases (VLDB), Santiago, Chile, September 1994, pages 487-499
Hahsler, Michael (2005). "Introduction to arules – A computational environment for mining association rules and frequent item sets" (PDF). Journal of Statistical Software. doi:10.18637/jss.v014.i15. Archived from the original (PDF) on 2019-04-30. Retrieved 2016-03-18.
Wong, Pak (1999). "Visualizing Association Rules for Text Mining" (PDF). BSTU Laboratory of Artificial Neural Networks. Archived (PDF) from the original on 2021-11-29.

Association rule learning (English Wikipedia)

acm.org (Global: 1,185th place; English: 840th place)

portal.acm.org

agrawal-family.com (Global: low place; English: low place)

rakesh.agrawal-family.com

arxiv.org (Global: 69th place; English: 59th place)

bstu.by (Global: low place; English: low place)

neuro.bstu.by

cas.cz (Global: 2,066th place; English: 6,869th place)

cs.cas.cz

doi.org (Global: 2nd place; English: 2nd place)

dssresources.com (Global: low place; English: low place)

handle.net (Global: 102nd place; English: 76th place)

hdl.handle.net

harvard.edu (Global: 18th place; English: 17th place)

ui.adsabs.harvard.edu

loc.gov (Global: 70th place; English: 63rd place)

webarchive.loc.gov

mhahsler.github.io (Global: low place; English: low place)

nih.gov (Global: 4th place; English: 4th place)

pubmed.ncbi.nlm.nih.gov

precisely.com (Global: low place; English: low place)

psu.edu (Global: 207th place; English: 136th place)

citeseerx.ist.psu.edu

researchgate.net (Global: 120th place; English: 125th place)

revolutionanalytics.com (Global: low place; English: low place)

mran.revolutionanalytics.com

sciencedirect.com (Global: 149th place; English: 178th place)

semanticscholar.org (Global: 11th place; English: 8th place)

api.semanticscholar.org

talend.com (Global: low place; English: low place)

techtarget.com (Global: 2,435th place; English: 1,699th place)

searchbusinessanalytics.techtarget.com

ugr.es (Global: 4,970th place; English: low place)

sci2s.ugr.es

umn.edu (Global: 1,266th place; English: 860th place)

www-users.cs.umn.edu

web.archive.org (Global: 1st place; English: 1st place)

acm.org (Global: 1,185^th place; English: 840^th place)

arxiv.org (Global: 69^th place; English: 59^th place)

cas.cz (Global: 2,066^th place; English: 6,869^th place)

doi.org (Global: 2^nd place; English: 2^nd place)

handle.net (Global: 102^nd place; English: 76^th place)

harvard.edu (Global: 18^th place; English: 17^th place)

loc.gov (Global: 70^th place; English: 63^rd place)

nih.gov (Global: 4^th place; English: 4^th place)

psu.edu (Global: 207^th place; English: 136^th place)

researchgate.net (Global: 120^th place; English: 125^th place)

sciencedirect.com (Global: 149^th place; English: 178^th place)

semanticscholar.org (Global: 11^th place; English: 8^th place)

techtarget.com (Global: 2,435^th place; English: 1,699^th place)

ugr.es (Global: 4,970^th place; English: low place)

umn.edu (Global: 1,266^th place; English: 860^th place)

web.archive.org (Global: 1^st place; English: 1^st place)